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Supervised learning
Results: 1557

#	Item
811	Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004), Banff, Canada, July 2004 A Comparison of Inference Techniques for Semi-supervised Clustering with H Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2004-09-05 17:21:10 Data analysis Data mining Geostatistics Machine learning K-means clustering Belief propagation Constrained clustering Statistics Multivariate statistics Cluster analysis
812	Learning to Rank for Information Retrieval Tie-Yan Liu Lead Researcher Microsoft Research Asia[removed] Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-07 05:09:11 Artificial intelligence Science Learning to rank Natural language processing Supervised learning Yan Machine learning Information science Information retrieval
813	Metric Learning for Graph-based Domain Adaptation Paramveer S. Dhillon Computer and Information Science, University of Pennsylvania, U.S.A [removed] Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-02-21 11:41:26 Statistics Artificial intelligence Semi-supervised learning Transduction Support vector machine Graph Degree Machine learning Graph theory Mathematics
814	Fuzzy ARTMAP Rule Extraction in Computational Chemistry Add to Reading List Source URL: www.cwu.edu Language: English - Date: 2009-06-18 03:57:50 Pharmacology Knowledge Artificial intelligence Computational neuroscience Neuro-fuzzy Neural network Partition coefficient Drug design Supervised learning Science Medicinal chemistry Chemistry
815	3 Semi-Supervised Text Classification Using EM Kamal Nigam Andrew McCallum Tom Mitchell Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-03-07 20:47:10 Supervised learning Naive Bayes classifier Co-training Mixture model Document classification Generative model Expectation–maximization algorithm Statistical classification Maximum likelihood Statistics Machine learning Semi-supervised learning
816	Regularization of Latent Variable Models to Obtain Sparsity Ramnath Balasubramanyan Language Technologies Institute Carnegie Mellon University Pittsburgh, PA[removed]removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-01-31 11:16:16 Statistical models Bayesian networks Latent Dirichlet allocation Regularization Topic model Perplexity Latent variable model Supervised learning Latent variable Statistics Statistical natural language processing Machine learning
817	Conformal Multi-Instance Kernels Matthew B. Blaschko Max Planck Institute for Biological Cybernetics Spemannstr[removed]T¨ubingen, Germany [removed] Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:10:30 Statistical classification Machine learning Linear algebra Support vector machine Supervised learning Kernel Gaussian function Vector space Positive-definite kernel Algebra Mathematics Statistics
818	International Journal of Computer Applications (0975 – 8887) Volume 9– No.5, November 2010 Analysis of Artificial Neural Network for Financial Time Series Forecasting Anupam Tarsauliya Add to Reading List Source URL: www.ijcaonline.org Language: English - Date: 2010-11-09 13:34:56 Science Artificial neural network Artificial neuron Backpropagation Perceptron Multilayer perceptron Supervised learning Forecasting Types of artificial neural networks Neural networks Statistics Cybernetics
819	From Topic Models to Semi-Supervised Learning: Biasing Mixed-membership Models to Exploit Topic-Indicative Features in Entity Clustering Ramnath Balasubramanyan1 , Bhavana Dalvi1 , and William W. Cohen1,2 {rbalasub,bbd,w Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-07-01 09:45:45 Topic model Artificial intelligence Dynamic topic model Statistical natural language processing Statistics Latent Dirichlet allocation
820	Unsupervised Two-Class & Multi-class Support Vector Machines for Abnormal Traffic Characterization [Extended Abstract] † † Add to Reading List Source URL: pam2009.kaist.ac.kr Language: English - Date: 2009-03-31 10:04:15 Statistical classification Data mining Support vector machine Anomaly detection Document classification Unsupervised learning Kernel methods Supervised learning Margin classifier Statistics Machine learning Artificial intelligence

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