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Naive
Results: 799

#	Item
31	Supervised Pattern Classification Using Optimum-Path Forest Jo˜ao Paulo Papa and Alexandre Xavier Falc˜ao University of Campinas Institute of Computing Campinas, S˜ao Paulo - Brazil {papa.joaopaulo,alexandre.falcao}@g Add to Reading List Source URL: www.matmidia.mat.puc-rio.br Language: English - Date: 2009-12-09 18:55:18 Statistical classification Learning Data Cognition Support vector machine Classifier Margin classifier K-nearest neighbors algorithm Supervised learning Naive Bayes classifier Machine learning
32	On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Statistical classification Machine learning Learning Artificial intelligence Statistics Multi-label classification Support vector machine Naive Bayes classifier AdaBoost Binary classification Classifier chains Multiclass classification
33	Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2015-08-21 10:06:56 Machine learning Artificial intelligence Learning Statistical classification Massive Online Analysis K-nearest neighbors algorithm Ensemble learning Classifier chains Multi-label classification Concept drift Stochastic gradient descent Naive Bayes classifier
34	“Why Should I Trust You?” Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Add to Reading List Source URL: sameersingh.org Language: English - Date: 2016-08-18 16:00:00 Machine learning Statistical classification Statistics Artificial intelligence Learning Support vector machine Recommender system K-nearest neighbors algorithm Naive Bayes classifier Pattern recognition Cross-validation Classifier
35	Technical supplement to “Consistent probabilistic outputs for protein function prediction” Guillaume Obozinski Department of Statistics UC Berkeley Berkeley, CA, USA Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:24 Statistics Statistical classification Statistical theory Regression analysis Estimation theory Actuarial science Belief propagation Naive Bayes classifier Logistic regression Exponential family Variational Bayesian methods KullbackLeibler divergence
36	Detecting Life Events in Feeds from Twitter Barbara Di Eugenio Nick Green Rajen Subba Add to Reading List Source URL: nlp.cs.uic.edu Language: English - Date: 2013-08-14 12:27:26 Computing Software Information Statistical classification Social media Web 2.0 Twitter Social networking services Support vector machine Tweet Word-sense disambiguation Naive Bayes classifier
37	Word Sense Disambiguation Supervised WSD WSD evaluation Feature extraction Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-11-23 14:34:43 Linguistics Computational linguistics Semantics Natural language processing Language Word-sense disambiguation Lexical semantics WordNet Lesk algorithm WSD Naive Bayes classifier Lesk
38	A Visual Approach for Interactive Co-Training Qi Han Weimeng Zhu Florian Heimerl Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2016-07-22 15:05:19 Statistical classification Machine learning Artificial intelligence Learning Statistics Co-training Semi-supervised learning Support vector machine K-nearest neighbors algorithm Naive Bayes classifier Multiclass classification Margin classifier
39	Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank Department of Computer Science The University of Waikato Hamilton, New Zealand {jmr30,bernhard,geoff,eibe}@cs.wai Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Statistical classification Artificial intelligence Machine learning Learning Classifier chains Multi-label classification Multiclass classification Support vector machine Naive Bayes classifier AdaBoost Ensemble learning Boosting
40	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model

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