Supervised learning - PDFSEARCH.IO - Document Search Engine

Supervised learning
Results: 1557

#	Item
721	JMLR: Workshop and Conference Proceedings vol 35:1–31, 2014 Bayes-Optimal Scorers for Bipartite Ranking Aditya Krishna Menon ADITYA . MENON @ NICTA . COM . AU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-02-24 02:00:41 Econometrics Loss function Statistical theory Function Supervised learning Statistics Mathematics Decision theory
722	Chapter 1 Output Kernel Learning Methods Francesco Dinuzzo IBM Research, Dublin, Ireland [removed] Cheng Soon Ong Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2014-08-10 21:38:46 Supervised learning Kernel Learning Artificial intelligence Reproducing kernel Hilbert space Positive-definite kernel Signal processing Multivariate statistics Kernel adaptive filter Hilbert space Statistics Machine learning
723	Automated Timeline Extraction via a Semi-supervised Learning Approach Oulin Yang Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-04-01 22:57:25 Bayesian statistics Naive Bayes classifier Supervised learning Naive Co-training Statistics Machine learning Statistical classification
724	Isoelastic Agents and Wealth Updates in Machine Learning Markets Amos J. Storkey Jonathan J. Millin Krzysztof J. Geras School of Informatics,University of Edinburgh Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-08-16 15:55:19 Science Mathematical economics Utility Decision theory Finance Isoelastic utility Isoelastic function Prediction market Supervised learning Statistics Economics Machine learning
725	RESEARCH ARTICLE DIFFERENTIAL INFLUENCE OF BLOGS ACROSS DIFFERENT STAGES OF DECISION MAKING: THE CASE OF VENTURE CAPITALISTS Rohit Aggarwal Add to Reading List Source URL: www.misq.org Language: English - Date: 2013-10-17 09:22:23 Parts of speech Classifier Supervised learning Sentiment analysis Inter-rater reliability Binary classification Statistics Machine learning Statistical classification
726	Learning for Optical Flow Using Stochastic Optimization Yunpeng Li and Daniel P. Huttenlocher Department of Computer Science, Cornell University, Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-07-27 07:54:40 Mathematics M-estimators Econometrics Simultaneous perturbation stochastic approximation Maximum likelihood Loss function Optical flow Supervised learning Motion estimation Statistics Estimation theory Statistical theory
727	In Spring 2010, Com S 672 Advanced Topics in Computational Models of Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2014-11-21 15:52:46 Learning Artificial neural network Supervised learning Unsupervised learning Neural network Pattern recognition Statistical classification Data mining Support vector machine Machine learning Statistics Artificial intelligence
728	How to do backpropagation in a brain Geoffrey Hinton Canadian Institute for Advanced Research & University of Toronto & Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-08 18:16:49 Neuroscience Backpropagation Autoencoder Supervised learning Brain Image noise Speech recognition Types of artificial neural networks Multilayer perceptron Neural networks Cybernetics Science
729	Distance Learning Algorithm Comparing in Classification and Retrieval Jiecheng Zhao supervisor: Scott Sanner October 31, 2012 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-11-14 04:07:19 Statistical classification Data analysis Learning Nonlinear dimensionality reduction K-nearest neighbor algorithm Supervised learning Large margin nearest neighbor Linear classifier Support vector machine Statistics Machine learning Multivariate statistics
730	Notes 5 Statistical Machine Learning Template Methods Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:36 Search algorithms Cross-validation Model selection K-nearest neighbor algorithm Multivariate statistics Perceptron Supervised learning Statistics Machine learning Statistical classification

UPDATE