Filters








2,774 Hits in 4.5 sec

Robust Image Translation and Completion Based on Dual Auto-Encoder with Bidirectional Latent Space Regression

Sukhan Lee, Naeem Ul Islam
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
The proposed BA-DualAE is configured with two auto-encoders the individual latent spaces of which are tightly associated by a bidirectional regression network.  ...  PROPOSED APPROACH As a solution for the problem described above, we propose dual auto-encoder with bidirectional latent space regression or Bi-directionally Associative DualAE for short.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2914273">doi:10.1109/access.2019.2914273</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/saletq3lbnhphigwvqnvzsa74q">fatcat:saletq3lbnhphigwvqnvzsa74q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429072443/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08704221.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/7b/ad/7bad9f4150eae7e844b0f14190e09cc9163fecef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2914273"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners [article]

Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov, Michael C. Yip
<span title="2020-06-27">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper describes Motion Planning Networks (MPNet), a computationally efficient, learning-based neural planner for solving motion planning problems.  ...  MPNet uses neural networks to learn general near-optimal heuristics for path planning in seen and unseen environments.  ...  MPNet is a deep neural network-based bidirectional iterative planning algorithm that comprises two modules, an encoder network and planning network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.06013v3">arXiv:1907.06013v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a7ynhrxnobcoloo6faf4np5rq4">fatcat:a7ynhrxnobcoloo6faf4np5rq4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709233435/https://arxiv.org/pdf/1907.06013v3.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/d4/8a/d48ae3108c8cf8970578bb29483a27184ab09e9e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.06013v3" 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>

An early prediction of covid-19 associated hospitalization surge using deep learning approach [article]

Yuqi Meng, Qiancheng Sun, Suning Hong, Ying Zhao, Zhixiang Li
<span title="2021-11-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this study, we propose to use 4 recurrent neural networks to infer hospitalization change for the following week compared with the current week.  ...  As of September 11, more than 28 million people have tested positive for COVID-19 infection, and more than 911,000 people have lost their lives in this virus battle.  ...  Y.M. and Y.L. implement all deep neural networks, analyze and visualize the results.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.08093v2">arXiv:2009.08093v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vldqla2p4vhbnmzbl47dzbomuq">fatcat:vldqla2p4vhbnmzbl47dzbomuq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200922101739/https://arxiv.org/pdf/2009.08093v1.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.08093v2" 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>

Deep Multimodal Learning: An Effective Method for Video Classification [article]

Tianqi Zhao
<span title="2018-11-30">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recurrent neural network (RNN) architecture has wildly been used on many sequential learning problems such as Language Model, Time-Series Analysis, etc.  ...  In this paper, we propose some variations of RNN such as stacked bidirectional LSTM/GRU network with attention mechanism to categorize large-scale video data.  ...  Besides, the property that it is relatively easy to configure(the default configuration is powerful enough to handle most problems) is another reason why we choose it. t ← t + 1 7: g t ← ∇ θ f t (θ t−1  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.12563v1">arXiv:1811.12563v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ybsbajtedbdlxc555j3f2q4tea">fatcat:ybsbajtedbdlxc555j3f2q4tea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200825174151/https://arxiv.org/pdf/1811.12563v1.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/2d/f1/2df1688afdb470a9d9eee95e41fc34ebd0c9036b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.12563v1" 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>

Phoneme-to-Articulatory Mapping Using Bidirectional Gated RNN

Théo Biasutto-Lervat, Slim Ouni
<span title="2018-09-02">2018</span> <i title="ISCA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trpytsxgozamtbp7emuvz2ypra" style="color: black;">Interspeech 2018</a> </i> &nbsp;
Motivated by the recent success of deep learning techniques used in the acoustic-to-articulatory inversion, we have experimented around the bidirectional gated recurrent neural network architectures.  ...  Authors would like to thank Korin Richmond for making MNGU0 corpus available and for his advices, and the anonymous reviewers for theirs useful comments.  ...  Training procedure Input and output features We trained the recurrent networks in a framewise regression scheme where inputs and outputs are synchronized, using a pure stochastic gradient descent.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2018-1202">doi:10.21437/interspeech.2018-1202</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/interspeech/Biasutto-Lervat18.html">dblp:conf/interspeech/Biasutto-Lervat18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/anxzcopwdrbzfkd5gxtbnmaa3y">fatcat:anxzcopwdrbzfkd5gxtbnmaa3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218015007/http://pdfs.semanticscholar.org/08a1/cd985cae2d7c1e95b257c39b8b07462a6a2d.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/08/a1/08a1cd985cae2d7c1e95b257c39b8b07462a6a2d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2018-1202"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Short-term prediction of wind power density using convolutional LSTM network
Kratkoročno predviđanje gustine snage vetra korišćenjem konvolucione LSTM mreže

Deepak Gupta, Vikas Kumar, Ishan Ayus, M. Vasudevan, N. Natarajan
<span title="">2021</span> <i title="Centre for Evaluation in Education and Science (CEON/CEES)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/k6lim3zrsvg75guzsaagdlgks4" style="color: black;">FME Transaction</a> </i> &nbsp;
The selected models such as Convolutional Neural Network (CNN), Dense Neural Network (DNN), Recurrent Neural Network (RNN), Bidirectional Long Short Term Memory (LSTM) Network, and linear regression are  ...  employed for comparing the data for a period from Jan 1980 to May 2018.  ...  Here we have used 100 epochs for Bidirectional LSTM and simple regression, whereas in simple RNN, Dense Neural network, and CNN-LSTM, we have used 200 epochs to train the model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5937/fme2103653g">doi:10.5937/fme2103653g</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s3mk6w26hfho5d6ddny3zgx4lu">fatcat:s3mk6w26hfho5d6ddny3zgx4lu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210802123524/https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922103653G.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/e4/bb/e4bbad781ea029b2cef234e10f9581c412027c0e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5937/fme2103653g"> <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>

A delay estimation technique for single and double-track railroads

Pavankumar Murali, Maged Dessouky, Fernando Ordóñez, Kurt Palmer
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2ffybnvo25fazorc33kvdz24oy" style="color: black;">Transportation Research Part E: Logistics and Transportation Review</a> </i> &nbsp;
We test our technique by comparing the delay estimates obtained for a network in Los Angeles with the delays obtained from the simulation model developed by Lu et al. (2004) , which has been shown to be  ...  To route and schedule trains over a large complex network can be computationally intensive. One way to reduce complexity could be to "aggregate" suitable sections of a network.  ...  The capacity assessment problem for this generic model is translated into an optimization problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.tre.2009.04.016">doi:10.1016/j.tre.2009.04.016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uvrib5d6vbco3nk45hggh6acme">fatcat:uvrib5d6vbco3nk45hggh6acme</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401194357/http://www-bcf.usc.edu/~maged/publications/tre_trains.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/c5/5a/c55a0e5d39f735e4e41d6b06a5c15b111efe495d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.tre.2009.04.016"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Plasmonic nanostructure design and characterization via Deep Learning

Itzik Malkiel, Michael Mrejen, Achiya Nagler, Uri Arieli, Lior Wolf, Haim Suchowski
<span title="2018-09-05">2018</span> <i title="Springer Nature America, Inc"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y5icnkvcrncrdfvhmtw3bdbma4" style="color: black;">Light: Science &amp; Applications</a> </i> &nbsp;
In contrast, the inverse problem, i.e., obtaining a geometry for a desired electromagnetic response, remains a challenging and time-consuming task within the boundaries of very specific assumptions.  ...  but is also capable of directly addressing the inverse problem.  ...  Supplementary information is available for this paper at https://doi.org/ 10.1038/s41377-018-0060-7.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41377-018-0060-7">doi:10.1038/s41377-018-0060-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30863544">pmid:30863544</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6123479/">pmcid:PMC6123479</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lxl2t4ghvjbshocym5nti7xvdi">fatcat:lxl2t4ghvjbshocym5nti7xvdi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191203194001/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6123479&amp;blobtype=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/e2/ba/e2ba2901ad1efe364ad3617e795bc86322902f46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41377-018-0060-7"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123479" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Computation of Evapotranspiration with Artificial Intelligence for Precision Water Resource Management

Hassan Afzaal, Aitazaz A. Farooque, Farhat Abbas, Bishnu Acharya, Travis Esau
<span title="2020-02-29">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
This study estimates ETo with recurrent neural networks (RNNs), namely long short-term memory (LSTM) and bidirectional LSTM.  ...  Based on subset regression analysis, the highest contributing climatic variables, namely maximum air temperature and relative humidity, were selected as input variables for RNNs' training (2011–2015) and  ...  Acknowledgments: The authors thank and the Precision Agriculture Team at the University of Prince Edward Island for their cooperation and assistance during the experiment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10051621">doi:10.3390/app10051621</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kgzu5grixvaydea3ppm5l6n3yq">fatcat:kgzu5grixvaydea3ppm5l6n3yq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306164423/https://res.mdpi.com/d_attachment/applsci/applsci-10-01621/article_deploy/applsci-10-01621-v2.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/c2/ae/c2ae48036a1bc111ff4c3f5b3382cde0fca81bd7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10051621"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Pressure-Informed Velocity Estimation in a Subsonic Jet [article]

Songqi Li, Lawrence Ukeiley
<span title="2021-06-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In addition, the pressure-velocity relationship was also described by neural network architectures based on the multi-layer perceptron (MLP) and bidirectional long-short-term-memory (LSTM).  ...  A unique advantage of the bidirectional LSTM method was found among all estimation schemes is also reported in this work.  ...  ACKNOWLEDGMENTS The authors acknowledge the support from Wenyan Li for the development of the machine learning code.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.07110v1">arXiv:2106.07110v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/newti3tbzbchjescd6td6cw3sm">fatcat:newti3tbzbchjescd6td6cw3sm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210616045002/https://arxiv.org/pdf/2106.07110v1.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/64/6e/646e9bb63ad38dbc777cb85a11866f69948ce24c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.07110v1" 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>

NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination

Zhengxin Zhang, Qimin Zhou, Hao Wu
<span title="">2018</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aa3ggf3tbjarfj2zylzuxxqvdi" style="color: black;">Proceedings of The 12th International Workshop on Semantic Evaluation</a> </i> &nbsp;
Our system uses a simple yet effective ensemble method which combines several neural network components. We participate in two subtasks for English tweets: EI-reg and V-reg.  ...  For V-reg, the achieved accuracy scores are respectively 0.835 and 0.670.  ...  Since the task is a regression problem, we put a dense projection with sigmoid activation to obtain an intensity value between 0 and 1.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/s18-1015">doi:10.18653/v1/s18-1015</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/semeval/ZhangZW18.html">dblp:conf/semeval/ZhangZW18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4vuyo6fgtvdq3d4origrm5vo3e">fatcat:4vuyo6fgtvdq3d4origrm5vo3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200309053924/https://www.aclweb.org/anthology/S18-1015.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/12/58/125894e970a469ec5d1c019d876b9cfb43882a61.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/s18-1015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Mollifying Networks [article]

Caglar Gulcehre, Marcin Moczulski, Francesco Visin, Yoshua Bengio
<span title="2016-08-17">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We show improvements on various difficult optimization tasks and establish a relationship with recent works on continuation methods for neural networks and mollifiers.  ...  The optimization of deep neural networks can be more challenging than traditional convex optimization problems due to the highly non-convex nature of the loss function, e.g. it can involve pathological  ...  We adapted the hyperparameters of the Stochastic depth network from Huang et al. (2016a) and we used the same hyperparameters for our algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.04980v1">arXiv:1608.04980v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lsnah2dkfjdghicffmzev2kgzq">fatcat:lsnah2dkfjdghicffmzev2kgzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191021114753/https://arxiv.org/pdf/1608.04980v1.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/b9/72/b9728a8279c12f93fff089b6fac96afd2d3bab04.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.04980v1" 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>

Mean Field Annealing for Pattern Classification using different response functions: A Comparative Approach

<span title="2010-06-01">2010</span> <i title="Egypts Presidential Specialized Council for Education and Scientific Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kkwlwg4o7fbprnflwgj343bbxq" style="color: black;">Journal of the ACS Advances in Computer Science</a> </i> &nbsp;
for solving combinatorial optimization problems.  ...  Experimental results are implemented using different network topologies on a real classification problem known as Graph bipartitioning which was applied on Circuit Bi-partitioning.  ...  This optimization problem can be visualized in terms of a network of nodes, where bidirectional links or interconnections correspond to the weights w ij = w ji .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21608/asc.2010.158214">doi:10.21608/asc.2010.158214</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qhuey4jqdbes7cgg45tbign76q">fatcat:qhuey4jqdbes7cgg45tbign76q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210324082354/https://asc.journals.ekb.eg/article_158214_3262074945bda1c1123842fbec49b237.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/ad/b2/adb2b6e869b71eb7a88ef84685b01591f773175a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21608/asc.2010.158214"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Evaluation of deep learning models for multi-step ahead time series prediction [article]

Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
<span title="2021-03-26">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The results show that bidirectional and encoder-decoder LSTM provide the best performance in accuracy for the given time series problems with different properties.  ...  We also provide comparison with simple neural networks use stochastic gradient descent and adaptive gradient method (Adam) for training.  ...  Our results indicate that encoder-decoder and bidirectional LSTM networks provide best performance for both simulated and real-world time series problems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.14250v1">arXiv:2103.14250v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ut7zoizrfcnreox7zlgmzgdrq">fatcat:7ut7zoizrfcnreox7zlgmzgdrq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210408211104/https://arxiv.org/pdf/2103.14250v1.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/93/78/9378aec9beba0c862bcbf8f5a7515eef0c9ae131.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.14250v1" 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>

Classical Planning in Deep Latent Space [article]

Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
<span title="2022-03-15">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Current domain-independent, classical planners require symbolic models of the problem domain and instance as input, resulting in a knowledge acquisition bottleneck.  ...  We address this problem in a Bidirectional Cube-Space AE (BiCSAE): a neural network that casts precondition learning as effect learning for regression planning.  ...  Learning with Complete State Regression in Bidirectional Cube-Space AE (BiCSAE) Complete state regression semantics provides a theoretical background for modeling a precondition learning problem as an  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.00110v2">arXiv:2107.00110v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/24gh3ds5cjfnrmlzlnjp6oaxqm">fatcat:24gh3ds5cjfnrmlzlnjp6oaxqm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220321052741/https://arxiv.org/pdf/2107.00110v2.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/51/92/5192e18ef47dd0f83b98ba70f6f841cc8bcc1dff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.00110v2" 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>
&laquo; Previous Showing results 1 &mdash; 15 out of 2,774 results