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Classifier
Results: 1687

#	Item
51	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
52	¨ 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
53	Assignment 5 L245 Due Tuesday, MarchDo question #7 in chapter 4 of the textbook (pDo question #10 in chapter 4 of the textbook (pWrite a regular expression to capture the variants of the last Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2016-03-24 14:38:45 Software Computing Microblogging Real-time web Social media Text messaging Twitter Tweet Broccoli Classifier
54	Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank University of Waikato, Hamilton, New Zealand Experiments Introduction Add to Reading List Source URL: jmread.github.io Language: English - Date: 2016-05-18 09:25:59 Statistical classification Classifier chains Machine learning Multi-label classification Ensemble learning Support vector machine Classifier K-nearest neighbors algorithm Information Cognition Computing
55	“What is... Dengue Fever?” Modeling and Predicting Pronunciation Errors in a Text-to-Speech System Andrew Rosenberg1 , Raul Fernandez2 , Bhuvana Ramabhadran2 1 Computer Science Department, Queens College (CUNY), New Add to Reading List Source URL: speech.cs.qc.cuny.edu Language: English - Date: 2012-10-05 14:14:23 Machine learning Statistical classification Support vector machine Ensemble learning Supervised learning Binary classification Classifier Cognition Sampling Information Cognitive science Probabilistic classification
56	Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs Maria E. Ramirez-Loaiza Aron Culotta Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2013-07-08 06:03:55 Machine learning Statistical classification Artificial intelligence Learning Support vector machine Pattern recognition Supervised learning Linear classifier Naive Bayes classifier Generalization error Document classification
57	Multi-label Classification with Classifier Chains Jesse Read Aalto University School of Science, Department of Information and Computer Science and Helsinki Institute for Information Technology Helsinki, Finland Add to Reading List Source URL: jmread.github.io Language: English - Date: 2016-05-18 09:25:59 Classifier chains Multi-label classification Helsinki Institute for Information Technology Multiclass classification
58	Smoothness without Smoothing: Why Gaussian Naive Bayes Is Not Naive for Multi-Subject Searchlight Studies Rajeev D. S. Raizada1, Yune-Sang Lee2,3* 1 Dept. of Psychology, Cornell University, Ithaca, New York, United State Add to Reading List Source URL: www.bcs.rochester.edu Language: English - Date: 2016-01-29 19:10:22 Statistical classification Statistics Neuroscience Machine learning Neuroimaging Imaging Magnetic resonance imaging Cognitive neuroscience Functional magnetic resonance imaging Naive Bayes classifier Pattern recognition Voxel
59	Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2 Add to Reading List Source URL: vision.ucsd.edu Language: English Artificial intelligence Ensemble learning Learning Machine learning Statistical classification Cascading classifiers AdaBoost Boosting Face recognition Classifier Supervised learning Linear discriminant analysis
60	Computer Vision Exercise Session 10 – Image Categorization Object Categorization  Task Description Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-12-15 06:45:03 Computer vision Artificial intelligence Vision Feature detection Machine learning Bag-of-words model in computer vision Histogram of oriented gradients Feature Classifier Visual Word Bag-of-words model Statistical classification

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