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Machine learning
Results: 10129

#	Item
921	A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints Machine learning for systems Nikita Mishra, Harper Zhang , John Lafferty & Henry Hoffmann Department of Computer Science, Add to Reading List Source URL: people.cs.uchicago.edu Language: English - Date: 2015-07-12 23:42:34 Normal distribution Program optimization Algorithm Online algorithm
922	Machine recognition of timbre using steady-state tone of acoustic musical instruments Ichiro Fujinaga Peabody Conservatory of Music Johns Hopkins University Baltimore, MD USA 21202 Add to Reading List Source URL: www.music.mcgill.ca Language: English - Date: 1999-03-18 22:07:48 Machine learning Pattern recognition K-nearest neighbors algorithm Feature Statistical classification Timbre
923	Generating Synthetic Multi-label Data Streams Jesse Read, Bernhard Pfahringer, Geoff Holmes Department of Computer Science The University of Waikato Hamilton, New Zealand {jmr30,bernhard,geoff}@cs.waikato.ac.nz Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Machine learning Multi-label classification Concept drift Label Statistical classification Synthetic data Classifier chains Pattern recognition
924	9. KONFERENCA JEZIKOVNE TEHNOLOGIJE Informacijska družba - IS 2014 9th Language Technologies Conference Information Society - IS 2014 Add to Reading List Source URL: nl.ijs.si Language: English - Date: 2014-10-19 11:19:14 Machine learning Languages of Bosnia and Herzegovina Languages of Croatia Languages of Kosovo Languages of Serbia Support vector machine Classifier Serbo-Croatian Cross-validation Statistical classification Bosnian language
925	Prediction tasks over nodes and edges in networks require careful effort in engineering features for learning algorithms. Recent research in the broader field of representation learning has led to significant progress in Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Feature learning Machine learning Artificial neural networks Computational statistics Deep learning
926	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function
927	192 Genome Informatics 13: 192–Using Feature Generation and Feature Selection for Accurate Prediction of Translation Initiation Sites Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:41 Machine learning Statistical classification Model selection Protein biosynthesis Support vector machine Leaky scanning Cross-validation Naive Bayes classifier Kozak consensus sequence Feature selection Directionality
928	Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov♠ Manaal Faruqui♠ Wang Ling♣ Brian MacWhinney♠ Chris Dyer♣♠ ♠ Carnegie Mellon University ♣ G Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2016-08-01 10:37:36 Machine learning Computational linguistics Artificial neural networks Natural language processing Graphical models Word embedding Word-sense disambiguation Word2vec Conditional random field Named-entity recognition Curriculum Support vector machine
929	Language Learning ISSNStatistical Learning and Language: An Individual Differences Study Add to Reading List Source URL: cnl.psych.cornell.edu Language: English - Date: 2012-02-26 09:34:45 Educational psychology Learning Applied linguistics Intelligence Developmental psychology Implicit learning Language acquisition Working memory Sentence processing Fluid and crystallized intelligence Machine learning Speech segmentation
930	Learning Extended Tree Augmented Naive StructuresI Cassio P. de Camposa,∗, Giorgio Coranib , Mauro Scanagattab , Marco Cuccuc , Marco Zaffalonb b Istituto a Queen’s University Belfast, UK Dalle Molle di Studi sull’ Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-03-17 09:50:40 Statistical classification Machine learning Naive Bayes classifier Supervised learning Averaged one-dependence estimators Bayesian network Feature selection Minimum spanning tree X0

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