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Feature learning
Results: 920

#	Item
261	Roberto Cipolla May 2013 Handout 3: Feature Descriptors University of Cambridge Add to Reading List Source URL: learning.eng.cam.ac.uk Language: English - Date: 2014-05-09 12:29:24
262	What do decision tree predictions look like in feature space? class 2 class 1 Add to Reading List Source URL: learning.eng.cam.ac.uk - Date: 2013-12-04 05:44:06
263	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:20 Machine learning K-nearest neighbors algorithm Roberto Battiti Lazy learning Supervised learning Nearest neighbor Feature
264	Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAIPalo Alto, CA: AAAI Press. Paul A. Szerlip Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2015-03-03 21:39:20 Artificial neural networks Artificial intelligence Machine learning Learning Applied mathematics Evolutionary algorithms Computational neuroscience Evolutionary computation Neuroevolution Deep learning HyperNEAT Feature learning
265	Guided Feature Labeling for Budget-Sensitive Learning Under Extreme Class Imbalance Josh Attenberg Polytechnic Institute of NYU, Brooklyn, NY 11201 Add to Reading List Source URL: www.prem-melville.com Language: English - Date: 2010-07-08 22:28:01
266	Real-time Hebbian Learning from Autoencoder Features for Control Tasks To appear in: Proc. of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14). Cambridge, MA: MIT Press Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2014-06-04 09:58:39 Artificial neural networks Neuroscience Applied mathematics Cybernetics Autoencoder Hebbian theory Feature learning Deep learning Restricted Boltzmann machine Unsupervised learning Biological neural network Backpropagation
267	Learning Sparse Covariance Patterns for Natural Scenes Liwei Wang† † Yin Li‡ Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2012-04-05 12:16:10 Covariance and correlation Machine learning Multivariate statistics Algebra of random variables Covariance Principal component analysis Feature learning Sparse approximation Correlation and dependence Pattern recognition
268	Nightmare at Test Time: Robust Learning by Feature Deletion -- Amir Globerson and Sam Roweis ICML’06 Presented by Lei Tang Add to Reading List Source URL: leitang.net Language: English - Date: 2009-11-17 19:33:23
269	MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1 Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Speech recognition Acoustic model Artificial neural network Time series Speech synthesis Pattern recognition Machine learning Deep learning
270	AN ADVANCED FEATURE COMPENSATION METHOD EMPLOYING ACOUSTIC MODEL WITH PHONETICALLY CONSTRAINED STRUCTURE Wooil Kim1 and John H. L. Hansen2 1 2 Add to Reading List Source URL: www.utdallas.edu Language: English - Date: 2013-05-28 13:45:30 Machine learning Artificial intelligence Learning Markov models Computer accessibility Speech recognition Mixture model Markov chain

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