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Feature learning
Results: 920

#	Item
201	Optimal rates for random Fourier feature kernel approximations∗ Zolt´an Szab´o (Gatsby Unit, University College London)† Abstract: Kernel methods represent one of the most powerful tools in machine learning to tac Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2015-11-10 17:13:11
202	Adaptive Deconvolutional Networks for Mid and High Level Feature Learning Matthew D. Zeiler, Graham W. Taylor and Rob Fergus Dept. of Computer Science, Courant Institute, New York University {zeiler,gwtaylor,fergus}@cs.n Add to Reading List Source URL: www.matthewzeiler.com Language: English - Date: 2011-07-22 18:47:25
203	On the Use of Positional Proximity in IR-Based Feature Location Emily Hill Bunyamin Sisman, Avinash Kak Add to Reading List Source URL: users.drew.edu Language: English - Date: 2013-12-09 22:02:36 Information science Information retrieval Search algorithms Statistical natural language processing Machine learning Query expansion Natural language processing Ranking Tfidf Document retrieval Nearest neighbor search Proximity search
204	Optimal Rates for the Random Fourier Feature Method∗ Zolt´an Szab´o (Gatsby Unit, University College London) Abstract: Kernel methods represent one of the most powerful tools in machine learning to tackle problems ex Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2015-12-04 19:26:55
205	A Task-Oriented Approach for Cost-sensitive Recognition Roozbeh Mottaghi1 Hannaneh Hajishirzi2 Ali Farhadi1,2 1 Allen Institute for Artiﬁcial Intelligence Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-05-10 13:04:57 Machine learning Cognitive science Cognition Neuropsychology Image segmentation Biclustering Feature learning Attention Feature selection Clothes iron Outline of object recognition Statistical classification
206	Psychological Review 2013, Vol. 120, No. 4, 817– 851 © 2013 American Psychological Association 0033-295X/13/$12.00 DOI: a0034194 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2013-12-05 18:36:48 Machine learning Statistics Cybernetics Learning Image segmentation Feature learning Bayesian inference Cognition One-shot learning Concept learning
207	arXiv:1604.03755v1 [cs.CV] 13 AprVConv-DAE: Deep Volumetric Shape Learning Without Object Labels Abhishek Sharma1 , Oliver Grau2 , Mario Fritz3 1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-04-13 20:25:39 Artificial neural networks Imaging 3D computer graphics Artificial intelligence Vision Computational neuroscience 3D imaging Deep learning Machine learning Convolutional neural network Voxel Feature learning
208	Pedestrian Detection with Unsupervised Multi-Stage Feature Learning Pierre Sermanet Koray Kavukcuoglu Soumith Chintala Add to Reading List Source URL: koray.kavukcuoglu.org Language: English - Date: 2016-06-16 14:59:16
209	Online Evolution in Unreal Tournament 2004 Matthew Patrick, Student Member, IEEE Abstract— Traditional approaches to game AI often feature behaviour that is scripted and predictable. Previous attempts at adaptive AI ha Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Evolutionary algorithms Evolution Cybernetics Mathematical optimization Scientific modeling Genetic algorithm Evolutionary computation Fitness landscape Evolution strategy Multi-agent system Agent-based model Reinforcement learning
210	LEARNING EFFICIENT REPRESENTATIONS FOR SEQUENCE RETRIEVAL Laboratory for the Recognition and Organization of Speech and Audio Colin Raffel, LabROSA, Dept of Electrical Engineering, Columbia University Add to Reading List Source URL: colinraffel.com Language: English - Date: 2015-12-30 23:12:49 Machine learning Artificial intelligence Learning Statistics Dynamic programming Dynamic time warping Time series analysis Similarity measure Feature vector Yoshua Bengio Statistical classification Feature

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