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Feature learning
Results: 920

#	Item
291	ARTIFICIALINTELLIGENCE 185 Connectionist Learning Procedures Geoffrey E. Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-01-08 11:44:02 Science Machine learning Connectionism Hopfield network Perceptron Self-organizing map Feature Pattern recognition Hebbian theory Neural networks Computational neuroscience Cybernetics
292	Learning Robot Skills Through Motion Segmentation and Constraints Extraction Lucia P˘ais¸ Keisuke Umezawa Add to Reading List Source URL: lasa.epfl.ch Language: English - Date: 2014-07-08 10:55:29 Segmentation Classical mechanics Robotics Control theory Motion planning Humanoid robot Feature extraction Kinematics Physics Image processing Computer vision Cybernetics
293	An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept. Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2014-06-02 17:06:00 K-means clustering Cluster analysis Pattern recognition Supervised learning Linear classifier Expectation–maximization algorithm Object recognition Mixture model Algorithm Statistics Machine learning Unsupervised learning
294	Poster: Automatically Evading Classifiers A Case Study on Structural Feature-based PDF Malware Classifiers Weilin Xu, Yanjun Qi, and David Evans University of Virginia {xuweilin, yanjun, evans}@virginia.edu Abstract—Ma Add to Reading List Source URL: www.ieee-security.org Language: English - Date: 2015-05-11 16:42:34 Machine learning Artificial intelligence Malware Classifier Learning Support vector machine Ensemble learning Statistics Statistical classification Parts of speech
295	Journal of Machine Learning Research1182 Submitted 11/02; Published 3/03 An Introduction to Variable and Feature Selection Isabelle Guyon Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2004-10-11 19:41:21
296	MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching Xufeng Han† Thomas Leung‡ Yangqing Jia‡ Rahul Sukthankar‡ Alexander C. Berg† † University of North Carolina at Chapel Hill ‡ Google Re Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-05-25 21:18:37
297	Verifying the fully “Laplacianised” posterior Naïve Bayesian approach and more Add to Reading List Source URL: www.jcheminf.com Language: English Bayesian statistics Naive Bayes classifier Learning classifier system Classifier Feature selection Statistics Statistical classification Machine learning
298	Homework Assignment 1 The purpose of this homework is to apply linear regression on a real data set. We will consider three ways of improving prediction accuracy: feature selection, ridge regression and the lasso. We wil Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2014-11-14 05:53:12 Model selection Econometrics Data analysis Cross-validation Training set Linear regression Least squares Lasso Test set Statistics Machine learning Regression analysis
299	Linda Robertson, Tania Smellie, Phillipa Wilson, Lisa Cox FEATURE ARTICLE Learning styles and fieldwork education: Students’ perspectives Add to Reading List Source URL: vark-learn.com - Date: 2015-04-08 20:07:14
300	SkillsCommons Batch Import Learning Resources Collection This document was created to assist you with the batch import feature available in SkillsCommons. This feature is currently only available for use with the “Lea Add to Reading List Source URL: support.taaccct.org Language: English - Date: 2015-04-20 13:42:16

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