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Support vector machine
Results: 2011

#	Item
81	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
82	13th International Society for Music Information Retrieval Conference (ISMIRMULTIVARIATE AUTOREGRESSIVE MIXTURE MODELS FOR MUSIC AUTO-TAGGING Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Statistics Estimation theory M-estimators Time series models Noise Signal processing Expectationmaximization algorithm Autoregressive model Maximum likelihood estimation Mixture model Support vector machine Autoregressive conditional heteroskedasticity
83	Multiple Kernel Learning, Conic Duality, and the SMO Algorithm Francis R. Bach & Gert R. G. Lanckriet {fbach,gert}@cs.berkeley.edu Department of Electrical Engineering and Computer Science, University of California, Ber Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Machine learning Learning Support vector machines Artificial intelligence Sequential minimal optimization Multiple kernel learning NC Kernel method KarushKuhnTucker conditions
84	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
85	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
86	The Workshop on Computational Personality Recognition 2014 Fabio Celli Bruno Lepri Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2015-10-24 21:25:27 Psychology Personality traits Behavior Personality Behavioural sciences Big Five personality traits Support vector machine Personality test Extraversion and introversion
87	Microsoft PowerPoint - QDB-ScalableMatching.pptx Add to Reading List Source URL: dbs.uni-leipzig.de Language: English - Date: 2012-09-12 10:13:07 Data management Record linkage Support vector machine Machine learning SVM Cognition Cognitive science
88	Multi Modal Laughter Detection in Natural Discourses Stefan Scherer, Friedhelm Schwenker, and Nick Campbell University of Ulm, NiST, ATR Abstract. ABSTRACT Add to Reading List Source URL: www.speech-data.jp Language: English - Date: 2010-01-09 02:24:08 Machine learning Statistical classification Support vector machine Pattern recognition Laughter Image segmentation Cognition Cognitive science Structure
89	COMPUTATIONAL SPORTS BROADCASTING: AUTOMATED DIRECTOR ASSISTANCE FOR LIVE SPORTS ? Christine Chen, † Oliver Wang, † Simon Heinzle, ‡ Peter Carr, † Aljoscha Smolic, ?† Markus Gross ? Add to Reading List Source URL: www.oliverwang.info Language: English - Date: 2015-11-09 18:43:18 Optics Photography Support vector machine Virtual camera system Camera Aesthetics Digital photography Software development Data Computing
90	A Conditional Random Field for Multiple-Instance Learning Thomas Deselaers Vittorio Ferrari Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2014-10-11 09:29:28 Machine learning Learning Artificial intelligence Multiple instance learning Multiple-instance learning Support vector machine Conditional random field Bag Semi-supervised learning Statistical classification

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