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Artificial selection
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#	Item
41	Comparison of Classifier Selection Methods for Improving Committee Performance Matti Aksela Helsinki University of Technology, Neural Networks Research Centre P.O.Box 5400, FinHUT, Finland Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2006-05-30 07:20:10 Parts of speech Statistical classification Ensemble learning Learning classifier system Classifier Support vector machine Chinese classifier Random subspace method Machine learning Statistics Artificial intelligence
42	An Introduction to Feature Extraction Isabelle Guyon1 and Andr´e Elisseeff2 1 2 ClopiNet, 955 Creston Rd., Berkeley, CA 94708, USA. Add to Reading List Source URL: clopinet.com Language: English - Date: 2006-10-19 12:27:10 Dimension reduction Model selection Computer vision Feature selection Support vector machine Kernel methods Feature extraction Training set Cross-validation Statistics Machine learning Artificial intelligence
43	Microsoft PowerPoint - Modality_Selection_Edit_5_2_11-1 Add to Reading List Source URL: ispd.org Language: English - Date: 2015-03-04 12:53:36 Membrane technology Home hemodialysis Dialysis Kt/V Hemodialysis Peritoneal dialysis Renal replacement therapy Randomized controlled trial Wearable artificial kidney Medicine Renal dialysis Nephrology
44	ORIGINAL RESEARCH ARTICLE published: 06 January 2014 doi: fnbotNEUROROBOTICS Add to Reading List Source URL: juxi.net Language: English - Date: 2014-01-13 11:29:10 Dynamic programming Stochastic control Markov models Partially observable Markov decision process Reinforcement learning Markov decision process Automated planning and scheduling Action selection Neurorobotics Statistics Markov processes Artificial intelligence
45	Recurrent Models of Visual Attention Volodymyr Mnih Nicolas Heess Alex Graves Google DeepMind Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-20 15:30:50 Neural networks Computational neuroscience Cognitive science Learning Recurrent neural network Yann LeCun Q-learning Segmentation Action selection Machine learning Science Artificial intelligence
46	Deep Representations and Codes for Image Auto-Annotation Csaba Szepesv´ari Department of Computing Science University of Alberta Edmonton, AB, Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-12-26 22:59:51 Automatic image annotation Dimension reduction Content-based image retrieval Feature selection Caltech 101 Computer vision Artificial intelligence Artificial intelligence applications
47	Artificial Intelligence Module 2 Feature Selection Andrea Torsello ● Add to Reading List Source URL: www.dsi.unive.it - Date: 2012-04-11 16:32:51
48	ABSTRACTS-YEAR 2002 THESIS COMPUTER SCIENCE CSA CASE STUDY IN THE USE OF KNOWLEDGE-BASED ARTIFICIAL NEURAL NETWORKS FOR PRODUCT SELECTION DECISION SUPPORT Add to Reading List Source URL: www.cs.ait.ac.th Language: English - Date: 2005-07-11 03:56:31
49	Automatic Detection of Craters in Planetary Images: An Embedded Framework Using Feature Selection and Boosting Wei Ding1 , Tomasz F. Stepinski2 , Lourenco Bandeira3 , Ricardo Vilalta4 Youxi Wu5 , Zhenyu Lu5 , and Tianyu Add to Reading List Source URL: www.cs.umb.edu Language: English - Date: 2010-09-05 18:04:21 Learning Computational statistics Lunar science Supervised learning Lunar craters AdaBoost Impact crater Boosting Müller Ensemble learning Machine learning Artificial intelligence
50	An Instance Selection Approach to Multiple Instance Learning Zhouyu Fu∗ 1 and Antonio Robles-Kelly2,3 1 Gippsland School of IT, Monash University, Churchill, VIC 3842, Australia 2 National ICT Australia †, Locked Bag Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-04-01 18:15:07 Artificial intelligence Support vector machine Multiple-instance learning Multiclass classification Pruning Supervised learning Pattern recognition Boosting methods for object categorization Machine learning Statistics Statistical classification

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