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Constructing an initial knowledge base for medical domain expert system using induct RDR

Jonghwan Hyeon, Kyo-Joong Oh, You Jin Kim, Hyunsuk Chung, Byeong Ho Kang, Ho-Jin Choi
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7mct5z22qvgvlffexp7jbzcl7e" style="color: black;">2016 International Conference on Big Data and Smart Computing (BigComp)</a> </i> &nbsp;
Using this approach, we can improve the missing rate about 70% compared to an approach not dividing into several categories.  ...  To handle this problem, we divide a test set into 18 categories which is almost the single classification problem and apply Induct RDR to each category independently.  ...  However, previous works including Induct RDR are dealing with a single classification problem which takes an input and produces an output.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigcomp.2016.7425958">doi:10.1109/bigcomp.2016.7425958</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bigcomp/HyeonOKCKC16.html">dblp:conf/bigcomp/HyeonOKCKC16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xcwj6uxgwngedgsy7bow5r6cuy">fatcat:xcwj6uxgwngedgsy7bow5r6cuy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719111843/http://ecite.utas.edu.au/X/713C3A0049078B34E053031911AC583D" 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/a0/e0/a0e05882013bf522027c66ec136e225deb687fe3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigcomp.2016.7425958"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Building a Knowledge-Base for Protein Function Prediction using Multistrategy Learning

Takashi Ishikawa, Shigeki Mitaku, Takao Terano, Takatsugu Hirokawa, Makiko Suwa, Boon-Chien Seah
<span title="">1995</span> <i title="Japanese Society for Bioinformatics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jf2bmhtlzjh4zjrkh3rivxd2sq" style="color: black;">Genome Informatics Series</a> </i> &nbsp;
The functional features are extracted from amino acid sequences using Abductive inference, Inductive inference, and Deductive inference.  ...  To overcome the limitation, in this paper, we propose a method for protein function prediction using functional feature analysis and a multistrategy learning approach to building the knowledge-base.  ...  An alternative approach to protein function prediction is to apply machine learning techniques to find unknown features and rules to classify protein functions [2] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11234/gi1990.6.39">doi:10.11234/gi1990.6.39</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q4lrabmdjbeibggvmruuz3h26u">fatcat:q4lrabmdjbeibggvmruuz3h26u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220507125245/https://www.jstage.jst.go.jp/article/gi1990/6/0/6_0_39/_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/4d/d4/4dd432a19828edd6f73de7de82059b1d066088af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11234/gi1990.6.39"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Have I seen you before? Principles of Bayesian predictive classification revisited

Jukka Corander, Yaqiong Cui, Timo Koski, Jukka Sirén
<span title="2011-10-04">2011</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ktmtypeyz5cs3j7f52np7ed2o4" style="color: black;">Statistics and computing</a> </i> &nbsp;
A general inductive Bayesian classification framework is introduced for data from multiple finite alphabets using predictive representations based on random urn models and generalized exchangeability.  ...  We discuss briefly a range of options for generalizing the simultaneous classification framework to allow for different data types and less restrictive modeling assumptions.  ...  Our approach is conceptually related to the work of Ray Solomonoff [3] , [4] , who developed a formal theory of inductive inference where predictions need not be sequential.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11222-011-9291-7">doi:10.1007/s11222-011-9291-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oijtcadyjvbhleasoyto6uxvma">fatcat:oijtcadyjvbhleasoyto6uxvma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809044547/http://sp.cs.tut.fi/WITMSE10/Proceedings/WITMSE2010_Papers/witmseAbstractCorander.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/15/b5/15b55044140b60a77ffe785f3bd1a07f96bc787a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11222-011-9291-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Meta-Learned Confidence for Few-shot Learning [article]

Seong Min Kye, Hae Beom Lee, Hoirin Kim, Sung Ju Hwang
<span title="2020-06-24">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A popular transductive inference technique for few-shot metric-based approaches, is to update the prototype of each class with the mean of the most confident query examples, or confidence-weighted average  ...  Transductive inference is an effective means of tackling the data deficiency problem in few-shot learning settings.  ...  One of the most popular and successful approaches for few-shot classification is the metric-based approach, in which we aim to learn an embedding function f θ (x) ∈ R l that maps an input x to a latent  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.12017v2">arXiv:2002.12017v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iizg5agw2zexhaxfs3vip4ackq">fatcat:iizg5agw2zexhaxfs3vip4ackq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200701110105/https://arxiv.org/pdf/2002.12017v2.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/54/62/5462e779872943abacb255d47721b4603a6746ff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.12017v2" 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>

Modeling Language For Constructing Solvers In Machine Learning: Reductionist Perspectives

Tsuyoshi Okita
<span title="2008-06-29">2008</span> <i title="Zenodo"> Zenodo </i> &nbsp;
For a given specific problem an efficient algorithm has been the matter of study. However, an alternative approach orthogonal to this approach comes out, which is called a reduction.  ...  In general for a given specific problem this reduction approach studies how to convert an original problem into subproblems.  ...  INDUCTIVE INFERENCE PROGRAMMING PARADIGM We introduce an inductive inference programming paradigm as the background of our formal modeling language.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1084364">doi:10.5281/zenodo.1084364</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hiwieelntfgvpcj43am7rgq6oy">fatcat:hiwieelntfgvpcj43am7rgq6oy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307025633/https://zenodo.org/record/1084364/files/15086.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/bc/02/bc02881f6f4289b578adceb7e2ac2372382e55f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1084364"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Classification learning using all rules [chapter]

Murlikrishna Viswanathan, Geoffrey I. Webb
<span title="">1998</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;
In this paper we present an extensive empirical comparison between the learning-all-rules algorithm and three varied established approaches to inductive learning, namely, a covering algorithm, an instance-based  ...  The covering algorithm has been ubiquitous in the induction of classification rules.  ...  We are grateful to Kai Ming Ting for providing the discretization system and to David Aha for providing the IB family of instance-based learning systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/bfb0026685">doi:10.1007/bfb0026685</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lvpmd653fjhfvpuhqqdfgoskqu">fatcat:lvpmd653fjhfvpuhqqdfgoskqu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030113727/https://link.springer.com/content/pdf/10.1007%2FBFb0026685.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/1e/de/1edeae95935384b0ae3f808186439c5e4f8cfec2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/bfb0026685"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Reliable reasoning: induction and statistical learning theory

<span title="2008-03-01">2008</span> <i title="American Library Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pjjljho22jhnrmpk3k2jxhxzv4" style="color: black;">ChoiceReviews</a> </i> &nbsp;
Linear Classification and Estimation Rules Let us consider an example of enumerative induction to a classification rule.  ...  Vapnik (2000, p. 293 ) says that transduction does not involve first inferring an inductive generalization which is then used for classification.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5860/choice.45-3711">doi:10.5860/choice.45-3711</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yjwxcvtrwrfvvnvczmajnmaofa">fatcat:yjwxcvtrwrfvvnvczmajnmaofa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060914051200/http://www.princeton.edu/~kulkarni/Papers/b2006_hk.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/5c/d2/5cd2b858b918db911c1fe26a5cddb4b059aca0ac.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5860/choice.45-3711"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Bibliographic Induction: How KO Systems Optimize Browsing by Supporting Library Users' Prior Knowledge

Jonathan Schatz, Nadia Stennes-Spidahl, Samantha Mills, Aaron J. Loehrlein
<span title="2013-10-31">2013</span> <i title="University of Washington Libraries"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gscvdic2sjekbgb53b2uho4hoy" style="color: black;">NASKO</a> </i> &nbsp;
Intuitively, these approaches appear to involve category-based induction in a bibliographic context.  ...  We investigate category-based induction as an aspect of browsing a library collection. Category-based induction is one of the primary uses of categories that are stored in memory.  ...  In so doing, he has made an inductive inference.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7152/nasko.v4i1.14657">doi:10.7152/nasko.v4i1.14657</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p65vz2accrhjfga2r66ubogrfi">fatcat:p65vz2accrhjfga2r66ubogrfi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427232544/https://journals.lib.washington.edu/index.php/nasko/article/download/14657/12300" 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/33/01/33014829a7fc78db767148d2fe4c1ed2ccd16d4b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7152/nasko.v4i1.14657"> <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>

Genetic Rules Induction Fuzzy Inference System for Classification and Regression Application in Energy Industry

<span title="2019-12-30">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/h673cvfolnhl3mnbjxkhtxdtg4" style="color: black;">International Journal of Engineering and Advanced Technology</a> </i> &nbsp;
This paper presents development of a new rules induction algorithm namely genetic rules induction fuzzy inference system for classification and regression (GRIFISCnR) that combines genetic algorithm with  ...  fuzzy logic to facilitate efficient design of building, transformer and harmonic current filter in energy industry using Pittsburgh approach.  ...  This research demonstrates an improved genetic fuzzy rules inference system for multi-class classification and regression that contributes to reasonably high accuracy without compromising on interpretability  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijeat.b4923.129219">doi:10.35940/ijeat.b4923.129219</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2bw4o7omkza43bqyl4pyxhhylm">fatcat:2bw4o7omkza43bqyl4pyxhhylm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200112170422/https://www.ijeat.org/wp-content/uploads/papers/v9i2/B4923129219.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/f8/5e/f85e634a4c833fef2c38b83d19a068a75c391a68.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijeat.b4923.129219"> <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>

Biological Essentialism, Projectable Human Kinds, and Psychiatric Classification

Jonathan Y. Tsou
<span title="2022-05-25">2022</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mmweprmdmbg5jfoyekvxsdalpu" style="color: black;">Philosophy of Science</a> </i> &nbsp;
Human classifications that yield robust and ampliative projectable inferences refer to biological kinds. I articulate this argument with reference to an intrinsic essentialist account of HPC kinds.  ...  ., medicine, psychiatry) that aim to formulate predictive kind categories should classify biological kinds. Issues concerning psychiatric classification and pluralism are examined.  ...  The HIV classification is stable because it refers to a biological kind (viz., an immunodeficiency virus).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/psa.2022.64">doi:10.1017/psa.2022.64</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5qagqvr4bjaadehtkwi6j6jo7e">fatcat:5qagqvr4bjaadehtkwi6j6jo7e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220526194124/https://www.cambridge.org/core/services/aop-cambridge-core/content/view/DF0697E9C999B66F9446E0943EF84CEA/S0031824822000642a.pdf/div-class-title-biological-essentialism-projectable-human-kinds-and-psychiatric-classification-div.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/13/43/13437f0c52bd5367fc7f39a5c1047bd363961f43.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/psa.2022.64"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

Extracting XML schema from multiple implicit xml documents based on inductive reasoning

Masaya Eki, Tadachika Ozono, Toramatsu Shintani
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceeding of the 17th international conference on World Wide Web - WWW &#39;08</a> </i> &nbsp;
We propose a method of classifying XML documents and extracting XML schema from XML by inductive inference based on constraint logic programming.  ...  Our approach has three steps.  ...  Predicates to Rules by Induction Inference We use Progol, which is a system of typical induction logic programming, to analyze classification rules.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1367497.1367735">doi:10.1145/1367497.1367735</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/EkiOS08.html">dblp:conf/www/EkiOS08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kythyi765bf7loeuypk4cjouy4">fatcat:kythyi765bf7loeuypk4cjouy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161002010044/http://wwwconference.org/www2008/papers/pdf/p1219-eki.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/bb/93bbae0c38081c2ef9e8c227ac6bb50eada5447c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1367497.1367735"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Alternative approach for learning and improving the MCDA method PROAFTN

Feras Al-Obeidat, Nabil Belacel
<span title="2011-03-17">2011</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tsqpdv4ebvctjlbuqzeazjgjaq" style="color: black;">International Journal of Intelligent Systems</a> </i> &nbsp;
Acknowledgment We gratefully acknowledge the support from NSERC's Discovery Award (RGPIN293261-05) granted to Dr. Nabil Belacel.  ...  In this paper, we aim to use an inductive learning approach inspired by DT used in Id3 and C4.5 to build the classification model for PROAFTN.  ...  After this process, we proposed an induction approach to obtain the best prototypes that construct the classification model to classify new data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/int.20476">doi:10.1002/int.20476</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rpm2e7easza2jiii6upxez3nni">fatcat:rpm2e7easza2jiii6upxez3nni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428024639/https://nrc-publications.canada.ca/eng/view/accepted/?id=177a0a74-8642-4b1e-a695-9a0a8643ba8e" 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/3f/9b/3f9b5161852ca3cac3286e1ef8f68dc046185727.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/int.20476"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

Approaching Rules Induction CN2 Algorithm in Categorizing of Biodiversity

Su Myo Swe, Khin Myo Sett
<span title="2019-06-21">2019</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Rule induction is an area of machine learning in which formal rules are extracted from a set of observations.  ...  Su Myo Swe | Khin Myo Sett "Approaching Rules Induction: CN2 Algorithm in Categorizing of Biodiversity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN  ...  The inference process is carried out in an interactive mode with the use providing input data needed to complete rule chaining process.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3591374">doi:10.5281/zenodo.3591374</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mdpl53tmrbet5ghsseivcjd5j4">fatcat:mdpl53tmrbet5ghsseivcjd5j4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214161949/https://zenodo.org/record/3591374/files/331%20Approaching%20Rules%20Induction%20CN2%20Algorithm%20in%20Categorizing%20of%20Biodiversity.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/62/47/62476b0695412946ab743637e8ab1d42a3b1b996.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3591374"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Gender classification of human faces using inference through contradictions

Xue Bai, Vladimir Cherkassky
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qm5nunzmyva4tfjekdcm34uvhq" style="color: black;">2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)</a> </i> &nbsp;
We present an empirical study of gender classification of human faces, using new learning methodology called inference through contradictions, introduced in [9] .  ...  Application of this methodology to gender classification shows that using this approach enables better generalization over standard SVM classification (using labeled data alone).  ...  These additional unlabeled data samples (called virtual examples or the Universum) are used along with labeled training samples, to perform an inductive inference.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ijcnn.2008.4633879">doi:10.1109/ijcnn.2008.4633879</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcnn/BaiC08.html">dblp:conf/ijcnn/BaiC08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gudvukp5qvfahnszhuewodzb3q">fatcat:gudvukp5qvfahnszhuewodzb3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151127042354/http://www.tc.umn.edu/~baixx015/Xue_IJCNN2008.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/d1/40/d14002a56c99d72dd8af96be78185f04d1cdaf45.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ijcnn.2008.4633879"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

DIAGNOSIS OF BEARING DEFECTS BY ANFIS IN THE INDUCTION MOTOR

Nabil TALBI, Abderrezak METATLA, Toufik SEBBAGH, Nadir BOUTASSETA, Mohamed HASSANI
<span title="">2019</span> <i title="Technical University of Cluj-Napoca"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/db5iuvktb5hwxfl2t5hayx4tje" style="color: black;">Carpathian Journal of Electrical Engineering</a> </i> &nbsp;
In this paper, we developed a robust technique for fault classification in the induction motor, which was used by the Adaptive Network Reference Information System (ANFIS).  ...  The obtained results show the effectiveness and sensitivity of the proposed approach to identify the nature of the defect even at the birth stage.  ...  In our study, instead of using the vibration signal, we propose an approach based on an ANFIS algorithm to classify induction motor defects. • In a second step, a fault diagnosis approach based on an efficient  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://doaj.org/article/cd4c17d0785c4446bcf958dea94e4fff">doaj:cd4c17d0785c4446bcf958dea94e4fff</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4dyvueqpqjf4tlckgzq6ogkbce">fatcat:4dyvueqpqjf4tlckgzq6ogkbce</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201125013646/http://cee.cunbm.utcluj.ro/wp-content/uploads/CJEE20193.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/b3/66/b366b492b61f13b5736a048af3838e3aa9047ff8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>
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