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Feature learning
Results: 920

#	Item
401	Improving the Accuracy of Decision Tree Induction by Feature Pre-Selection Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:20:34 Decision trees Dimension reduction Feature selection Model selection Search algorithms C4.5 algorithm Algorithm Pattern recognition K-nearest neighbor algorithm Machine learning Artificial intelligence Mathematics
402	Object recognition learning algorithms that are easily trained, accurate, and capable of relating decisions to the feature vec Add to Reading List Source URL: eecs.vanderbilt.edu Language: English - Date: 2005-07-27 15:28:48 Artificial intelligence Vision Mathematics Feature vector Euclidean vector Matrix Feature Supervised learning Object recognition Computer vision Machine learning Image processing
403	C2FS: An Algorithm for Feature Selection in Cascade Neural Networks Lars Backstrom Rich Caruana Computer Science Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2006-09-13 16:02:40 Cybernetics Early stopping Backpropagation Feature selection Artificial neural network Algorithm Artificial neuron Feature Overfitting Neural networks Statistics Machine learning
404	Artificial Neural Networks - Lab 6 Analysis of odour patterns using self-organising feature maps Purpose To study classification and novelty detection using self-organising feature maps on a real application, using odour Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-02-08 05:38:26 Cybernetics Computational statistics Machine learning Neuroscience Statistical classification SOM Artificial neural network Computational neuroscience Neural networks Statistics
405	Empirical Evaluation of Feature Subset Algorithms based on a Real-World Data Set Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:20:43 Statistics Dimension reduction C4.5 algorithm Feature selection K-nearest neighbor algorithm Pattern recognition Feature extraction Ross Quinlan Random forest Machine learning Artificial intelligence Decision trees
406	Classification of HEp-2 Cells using Fluorescent Image Analysis and Data Mining Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:21:20 Statistical classification Pattern recognition Feature extraction Linear discriminant analysis Feature Data mining Decision tree learning Boosting methods for object categorization Book:Machine Learning - The Complete Guide Statistics Machine learning Artificial intelligence
407	Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering Yuhong Guo and Dale Schuurmans Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-05-23 00:36:59 Graphical models Networks Statistical models Bayesian network Exponential family Bayesian inference Mathematical optimization Maximum likelihood Feature selection Statistics Bayesian statistics Statistical theory
408	USING DATA MINING TO PREDICT SECONDARY SCHOOL STUDENT PERFORMANCE Paulo Cortez and Alice Silva Dep. Information Systems/Algoritmi R&D Centre University of MinhoGuimar˜aes, PORTUGAL Add to Reading List Source URL: www3.dsi.uminho.pt Language: English - Date: 2008-08-01 07:17:42 Statistical classification Decision trees Support vector machine Feature selection Regression analysis Data mining Cross-validation Decision tree learning Data analysis Statistics Machine learning Model selection
409	Artificial Neural Networks – Lab 5 Self-organising feature maps and Hopfield networks Purpose To study clustering with a self-organising feature map and pattern association with a Hopfield network. Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-02-08 05:38:25 Cybernetics Machine learning Computational statistics Hopfield network Networks Artificial neural network Self-organizing map Statistical classification Storage Neural networks Computational neuroscience Statistics
410	Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University Pedro Felzenszwalb Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2007-05-22 23:30:59 Image processing Artificial intelligence Estimation theory Object recognition Maximum likelihood Edge detection One-shot learning Scale-invariant feature transform Computer vision Vision Imaging

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