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<span title="2021-03-10">2021</span> <i title="Emerald Publishing Limited"> Machine Learning and Artificial Intelligence in Marketing and Sales </i> &nbsp;
-75 as constrained optimization problems, 75-76 weight decay in, 81 L 2 regularization, 73-74 as constrained optimization problems, 75-76 weight decay in, 80-81 Lagrange multipliers, 131-132 Lasso  ...  (s), 94-98 kernel-based nonlinear classifier, 114 in machine learning, 90-99 matrix, 130 as measures of similarity, 91-94 trick, 98-99 k th degree polynomial kernel, 130 L 1 regularization, 74  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1108/978-1-80043-880-420211008">doi:10.1108/978-1-80043-880-420211008</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6zolrhobrbcarixcopdthwyr3u">fatcat:6zolrhobrbcarixcopdthwyr3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715080957/https://www.emerald.com/insight/content/doi/10.1108/978-1-80043-880-420211008/full/pdf?title=index" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/d1/fad18ffd360f5735348bd7d9ed2ec4cf47d03d8b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1108/978-1-80043-880-420211008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Compressed Support Vector Machines [article]

Zhixiang Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger
<span title="2015-02-02">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Support vector machines (SVM) can classify data sets along highly non-linear decision boundaries because of the kernel-trick.  ...  In this paper, we introduce a post-processing algorithm, which compresses the learned SVM model by reducing and optimizing support vectors.  ...  In this paper, we focus on the other common scenario where the classifier evaluation cost dominates the overall test-time cost. Specifically, we focus on kernel support vector machine (SVM) [20] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1501.06478v2">arXiv:1501.06478v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2tbxsnjylrf3vf23okvojyj5yi">fatcat:2tbxsnjylrf3vf23okvojyj5yi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191026162658/https://arxiv.org/pdf/1501.06478v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6c/3a/6c3ab2d55767f45b2de8381f573f12346428a0ac.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1501.06478v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Generalized Augmentation of Multiple Kernels [chapter]

Wan-Jui Lee, Robert P. W. Duin, Marco Loog
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Usually, the kernels are assumed to exist in independent empirical feature spaces and therefore were combined without considering their relationships.  ...  To take these relationships into consideration in kernel combination, we propose the generalized augmentation kernel which is extended by all the single kernels considering their correlations.  ...  In [10] , semi-definite programming (SDP) was used to optimize over the coefficients in a linear combination of different kernels with respect to a cost function.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-21557-5_14">doi:10.1007/978-3-642-21557-5_14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5ju3ka5p7berzff4jnpmy5rjni">fatcat:5ju3ka5p7berzff4jnpmy5rjni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170421160259/http://rduin.nl/papers/mcs_11_kernels.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/67/36/67364d3ebc5e47c101411a36f994ac184f203ffa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-21557-5_14"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Bearing Fault Diagnosis using Support Vector Machine with Genetic Algorithms based Optimization and K Fold Cross-Validation Method

<span title="2019-07-30">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
Time-domain Analysis, high pass and low pass filtering etc. used for feature extraction from vibration signal. Further, these feature extraction used as input to the SVM classifier.  ...  This paper present a support vector machine algorithm (SVM) approach with GA (Genetic algorithm) based optimization compare the result with SVM with cross-validation (CV) method along these lines, the  ...  The optimization problem obtained at the result of constrained quadratic programming. The equationis given as, = ∑ . (6) In equation are the support vector.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b2828.078219">doi:10.35940/ijrte.b2828.078219</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t5j7d3cgvfdk5o7kcujfgpytie">fatcat:t5j7d3cgvfdk5o7kcujfgpytie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211174741/https://www.ijrte.org/wp-content/uploads/papers/v8i2/B2828078219.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f7/74/f7745a17b09ffe7986943048087cfc40d0f925dd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.b2828.078219"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines

I. Wai-Hung Tsang, A. Kocsor, J.T.-Y. Kwok
<span title="">2008</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/22mhkeaq5zdqlmtti5oidj26fi" style="color: black;">IEEE Transactions on Neural Networks</a> </i> &nbsp;
In this paper, we propose an (1 + ) 2 -approximation algorithm for obtaining the MMDA features by extending the core vector machine.  ...  Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems.  ...  In 1 Details of this data set and the experimental setup will be given in Section V. 2 Let C be the cost of the solution returned by an approximate algorithm, and C be the cost of the optimal solution  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnn.2007.911746">doi:10.1109/tnn.2007.911746</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/18390308">pmid:18390308</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ltpkp2sorhi3dvmvstldp7kcy">fatcat:2ltpkp2sorhi3dvmvstldp7kcy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829234547/http://www.cse.ust.hk/~jamesk/papers/tnn08.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/ad/dcad214accce927a1e3f889207b2e56f380fc7b9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnn.2007.911746"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Kernel-based Matrixzed One-Class Support Vector Machine

Yanyan Chen, June Yuan, Zhengkun Hu
<span title="2016-11-30">2016</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rebsgv7gbjechhypg6np633rcu" style="color: black;">International Journal of Hybrid Information Technology</a> </i> &nbsp;
Therefore, the time cost on calculating the kernel matrix can be negligible.  ...  In this paper we propose a matrix-based one-class classification algorithm named Kernel-based Matrixzed One-class Support Vector Machine (KMatOCSVM).  ...  Kernel-based Matrixized One-Class Support Vector Machine Since our Kernel-based MatOCSVM is a kernelized version of MatOCSVM, the optimization problem is the same as that of (5).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijhit.2016.9.11.32">doi:10.14257/ijhit.2016.9.11.32</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r4zs4hqmzfdpzfldkan3nxrljm">fatcat:r4zs4hqmzfdpzfldkan3nxrljm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602015621/http://www.sersc.org/journals/IJHIT/vol9_no11_2016/32.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/24/9a/249a9b92eda0801b818f163a8858d9e0fb2dbd0d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijhit.2016.9.11.32"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Optimum kernel function design from scale space features for object detection

Sharmin Nilufar, Nilanjan Ray, Hong Zhang
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/anlh4tvwprcrtoxv5d4h6a7rye" style="color: black;">2009 16th IEEE International Conference on Image Processing (ICIP)</a> </i> &nbsp;
This optimization is in general a difficult, non-convex, quadratically constrained quadratic programming.  ...  In order to choose the optimum weights in the mixture kernel function (MKF), we propose an optimization criterion that leads to the minimization of Raleigh quotient in the positive orthant.  ...  Optimal scale selection through the proposed cost function is described in Section 4. The proposed kernel optimization algorithm is given in Section 5.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2009.5414312">doi:10.1109/icip.2009.5414312</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icip/NilufarRZ09.html">dblp:conf/icip/NilufarRZ09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/maoqjdsvk5fizg4zudvbf7jafq">fatcat:maoqjdsvk5fizg4zudvbf7jafq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20090625184105/http://www.cs.ualberta.ca/~nray1/MyWebsite/Papers/LLD.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/fe/88fe20cd812cf3d0427385b7e99310253117bbc2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2009.5414312"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A GA-based feature selection and parameters optimizationfor support vector machines

Cheng-Lung Huang, Chieh-Jen Wang
<span title="">2006</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ekjwtd7zwfeipf5aknu4733lzy" style="color: black;">Expert systems with applications</a> </i> &nbsp;
The kernel parameters setting for SVM in a training process impacts on the classification accuracy. Feature selection is another factor that impacts classification accuracy.  ...  Support Vector Machines, one of the new techniques for pattern classification, have been widely used in many application areas.  ...  Hsu (National Taiwan University, Taipei, ROC) that the support vector machines were constructed with LIBSVM (Version 2.8) by them.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.eswa.2005.09.024">doi:10.1016/j.eswa.2005.09.024</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k2h3qake5jbpxfgrr62jzfsq4u">fatcat:k2h3qake5jbpxfgrr62jzfsq4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809141240/http://romisatriawahono.net/lecture/rm/paper/Huang%20-%20A%20GA-based%20feature%20selection%20and%20parameters%20optimizationfor%20SVM%20-%202006.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f5/73/f5736b335a8b0ae3bdf8523f37e8fef5051256ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.eswa.2005.09.024"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Design and analysis of quantum powered support vector machines for malignant breast cancer diagnosis

Shubham Vashisth, Ishika Dhall, Garima Aggarwal
<span title="2021-01-01">2021</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fvcuwwb4brauziwelchs6y6lzi" style="color: black;">Journal of Intelligent Systems</a> </i> &nbsp;
The rapid pace of development over the last few decades in the domain of machine learning mirrors the advances made in the field of quantum computing.  ...  Using quantum computation, it is possible to surpass these limitations and carry out such calculations in an optimized manner.  ...  T As equation (2.1) is a constrained optimization problem, it can be converted to an unconstrained optimization problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/jisys-2020-0089">doi:10.1515/jisys-2020-0089</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yqgzak5ozneavbprhqnjvn2u4i">fatcat:yqgzak5ozneavbprhqnjvn2u4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211013125552/https://www.degruyter.com/document/doi/10.1515/jisys-2020-0089/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/46/90/4690a2aecca69c3090bd1265e039ee8d6d89496f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/jisys-2020-0089"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> degruyter.com </button> </a>

Support Vector Machines for Predicting Protein Structural Classes via Pseudo Images Derived From Amino Acid Sequences

Betul Akcesme, Mehmet Can
<span title="2016-05-20">2016</span> <i title="International University of Sarajevo"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xny274xy7zdbdf2a26ezele5j4" style="color: black;">Southeast Europe Journal of Soft Computing</a> </i> &nbsp;
However, the kernel method basic to the design of a support vector machine is optimal, with the optimality being rooted in convex optimization.  ...  This highly desirable feature of the machine is achieved at the cost of increased computational complexity.  ...  Then this data is used in training six machine teams of support vector machines.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21533/scjournal.v5i1.107">doi:10.21533/scjournal.v5i1.107</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bfmbccp3z5gczgrfl2mlpciq3m">fatcat:bfmbccp3z5gczgrfl2mlpciq3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428134437/http://scjournal.ius.edu.ba/index.php/scjournal/article/download/107/108" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/00/6e004b8357e90b6e76f75d32c7eb6ad16f8f7f2e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21533/scjournal.v5i1.107"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Support Kernel Machines for Object Recognition

Ankita Kumar, Cristian Sminchisescu
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/753trptklbb4nj6jquqadzwwdu" style="color: black;">2007 IEEE 11th International Conference on Computer Vision</a> </i> &nbsp;
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal.  ...  In this paper we advocate the transition from SVMs to Support Kernel Machines (SKM) -models that estimate both the parameters of a sparse linear combination of kernels, and the parameters of a discriminative  ...  Acknowledgements: This work has been supported in part by the NSF and the EC, under awards IIS-0535140 and MCEXT-025481. We are grateful to Guillaume Obozinski for excellent SKM-SMO feedback and code.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2007.4409065">doi:10.1109/iccv.2007.4409065</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccv/KumarS07.html">dblp:conf/iccv/KumarS07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/em3faquagfgfnl2f5dosalhybu">fatcat:em3faquagfgfnl2f5dosalhybu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20081031210207/http://sminchisescu.ins.uni-bonn.de/papers/KS-iccv07-ker.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/69/22/692219225c0c385238e09555197c9b4601923eff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2007.4409065"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Multifold Bayesian Kernelization in Alzheimer's Diagnosis [chapter]

Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
However, the diagnosis accuracy is usually constrained by the performance of the machine learners as well as the methods of integrating the multi-modal data.  ...  In this study, we propose a novel diagnosis algorithm, the Multifold Bayesian Kernelization (MBK), which models the diagnosis process as a synthesis analysis of multi-modal biomarkers.  ...  Another limitation is that the classification accuracy is always constrained by the performance of the classifiers, e.g., support vector machine (SVM) enforces the global consistency and continuity of  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-40763-5_38">doi:10.1007/978-3-642-40763-5_38</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ih2nfcjiojd5xp32bmvcsupk74">fatcat:ih2nfcjiojd5xp32bmvcsupk74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505015148/https://link.springer.com/content/pdf/10.1007%2F978-3-642-40763-5_38.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/33/bf/33bf7faffb16c5ffbb7a578a0c23d2c6d87ea1b5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-40763-5_38"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition [article]

Priyadarshini Panda, Kaushik Roy
<span title="2016-08-01">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
One of the key challenges in machine learning is to design a computationally efficient multi-class classifier while maintaining the output accuracy and performance.  ...  We exploit the inherent feature similarity across images in datasets to identify the input variability and use recursive optimization procedure, to determine data partitioning at each node, thereby, learning  ...  Optimizing the computational cost for SVMs with nonlinear kernels Since the learnt tree with SVM nodes is used for measuring the complexity and accuracy of the attention model, the kernel-type selection  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.00611v1">arXiv:1608.00611v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6h46ni5berajxmslj4dixmymbm">fatcat:6h46ni5berajxmslj4dixmymbm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826080128/https://arxiv.org/pdf/1608.00611v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/be/f1/bef1184ba88237dae4969d4be510234b9b7a2239.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.00611v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

HIGH RESOLUTION POLSAR IMAGE CLASSIFICATION BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE

P. X. Li, W. D. Sun, J. Yang, L. Shi, F. K. Lang, W. Jiang
<span title="2013-07-12">2013</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
In this paper we apply SVM as the classifier and GA as the features selection method.  ...  Thanks to the high radar resolution, many classes of man-made objects are visible in the images.  ...  (c) Kernel machine for nonlinear classification. C f), it shows that the suitable features improve the classification accuracy to 97.49%.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xl-7-w1-67-2013">doi:10.5194/isprsarchives-xl-7-w1-67-2013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qhzat6juurdynmdl2r32t6tcr4">fatcat:qhzat6juurdynmdl2r32t6tcr4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706090832/http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/67/2013/isprsarchives-XL-7-W1-67-2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/03/19/03190e0d1210c8eef81272ce0f878b0f75b49859.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xl-7-w1-67-2013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Boosting Method for Automated Feature Space Discovery in Supervised Quantum Machine Learning Models [article]

Vladimir Rastunkov, Jae-Eun Park, Abhijit Mitra, Brian Quanz, Steve Wood, Christopher Codella, Heather Higgins, Joseph Broz
<span title="2022-05-24">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Quantum Support Vector Machines (QSVM) have become an important tool in research and applications of quantum kernel methods.  ...  We find that in some cases, a single QSVM model with tuned hyperparameters is sufficient to simulate the data, while in others - an ensemble of QSVMs that are forced to do exploration of the feature space  ...  In general, quantum machine learning (QML) models consist of data encoding into qubits, a variational quantum circuit with trainable parameters, a classical cost function and an optimization algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.12199v1">arXiv:2205.12199v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v3re7xjngvccrnbkwki7p3oize">fatcat:v3re7xjngvccrnbkwki7p3oize</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220526184338/https://arxiv.org/pdf/2205.12199v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8f/1a/8f1a795a4e2af0a0b048ec51c1964b3b903b850c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.12199v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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