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Statistical classification
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#	Item
121	Compressed Predictive State Representation: An Efficient Moment-Method for Sequence Prediction and Sequential Decision-Making pdfsubject=Subject Add to Reading List Source URL: www.caiac.ca Language: English - Date: 2015-01-15 20:58:24 Business intelligence Machine learning Statistical models Learning Predictive modelling Statistical classification Predictive state representation Prediction Cognition Science and technology
122	ACCEPTED C ONFERENCE ON C OMPUTER V ISION Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-01-16 09:17:12 Artificial intelligence Ensemble learning Face recognition Feature detection Machine learning ViolaJones object detection framework Boosting AdaBoost Statistical classification Pattern recognition Support vector machine Cascading classifiers
123	Questionnaire for activity and product classifications (Please use a separate questionnaire for each classification) Country: Brazil Activity classification 1. Name of the current national classification (full name i Add to Reading List Source URL: concla.ibge.gov.br Language: English - Date: 2016-07-27 17:23:47 International Standard Industrial Classification Taxonomy Industry classification Brazilian Institute of Geography and Statistics Standard Industrial Classification Product classification Classification Economy Government Structure Statistical Classification of Economic Activities in the European Community United Kingdom Standard Industrial Classification of Economic Activities
124	A Layered Approach to People Detection in 3D Range Data Luciano Spinelloa,b Kai O. Arrasa a Social Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2010-12-20 07:33:24 Artificial intelligence Computer vision Learning Machine learning Ensemble learning Statistical classification Face recognition ViolaJones object detection framework AdaBoost Boosting Pedestrian detection 3D scanner
125	Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistical classification Statistics Multivariate statistics Data Support vector machine K-nearest neighbors algorithm Hyperparameter optimization Cross-validation
126	Comparative Study of Speaker Personality Traits Recognition in Conversational and Broadcast News Speech Firoj Alam, Giuseppe Riccardi Department of Information Engineering and Computer Science, University of Trento, Ital Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2014-08-04 05:20:02 Machine learning Artificial intelligence Ensemble learning Learning Boosting Statistical classification AdaBoost Pattern recognition Feature selection Support vector machine Random forest
127	On-line Hierarchical Multi-label Text Classification Jesse Read September 7, 2007 On-line Hierarchical Multi-label Text Classification Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:53 Statistical classification Machine learning Artificial intelligence Learning Statistics Multi-label classification Naive Bayes classifier Classifier AdaBoost Document classification Binary classification Classifier chains
128	Microsoft Word - AutoCarto2012_DSHI_August122012.docx Add to Reading List Source URL: www.cartogis.org Language: English - Date: 2012-11-06 14:47:58 Statistical classification Polynomial kernel SVM Support vector machines Cognition Computing
129	Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2012-10-25 03:54:39 Statistics Machine learning Learning Artificial intelligence Statistical classification Data mining Concept drift Massive Online Analysis K-nearest neighbors algorithm Support vector machine Stochastic gradient descent Batch processing
130	P-SVM Variable Selection For Discovering Dependencies Between Genetic And Brain Imaging Data Johannes Mohr, Imke Puls, Jana Wrase, Sepp Hochreiter, Andreas Heinz and Klaus Obermayer Abstract— The joint analysis of gene Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2006-04-10 09:30:24 Statistics Genetics Biology Statistical classification Population genetics Dimension reduction Molecular biology Estimation theory Feature selection Support vector machine Single-nucleotide polymorphism Regression analysis