Supervised learning

Results: 1557



#Item
641Artificial intelligence / Image processing / Multivariate statistics / Vector quantization / Learning Vector Quantization / Supervised learning / Segmentation / Cluster analysis / Self-organizing map / Statistics / Machine learning / Neural networks

IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 8, NO. 3, MAY[removed]A Methodology for Constructing Fuzzy Algorithms for Learning Vector Quantization

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Source URL: ccy.dd.ncu.edu.tw

Language: English - Date: 2011-06-22 04:07:22
642Education / Supervised learning / Reinforcement learning / E-learning / Statistical classification / Data mining / Computational learning theory / Speech recognition / Genetic algorithm / Machine learning / Learning / Artificial intelligence

The Discipline of Machine Learning Tom M. Mitchell July 2006 CMU-ML[removed]

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Source URL: www.cs.cmu.edu

Language: English - Date: 2006-07-05 19:35:50
643Data mining / Data analysis / Statistical classification / Support vector machine / Pattern recognition / Supervised learning / Cluster analysis / Dimension reduction / Multidimensional scaling / Statistics / Machine learning / Multivariate statistics

Sensors and Actuators B[removed]–230 Odor classification using similarity-based representation Manuele Bicego∗ DEIR, University of Sassari, via Torre Tonda, Sassari 07100, Italy Received 8 November 2004; accep

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 17:48:03
644Econometrics / Machine learning / Computational neuroscience / Multivariate adaptive regression splines / Artificial neural network / Supervised learning / Feedforward neural network / Linear regression / Polynomial regression / Statistics / Neural networks / Regression analysis

Is Neural Network a Reliable Forecaster on Earth? A MARS Query! † Ajith Abraham & Dan Steinberg

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Source URL: media.salford-systems.com

Language: English - Date: 2013-07-26 03:41:36
645Science / Wavelet / Comorbidity / Dimension reduction / Clinical decision support system / Pattern recognition / Machine learning / Statistics / Artificial intelligence

2010 International Conference on Pattern Recognition Localized Supervised Metric Learning on Temporal Physiological Data Jimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadollahi IBM T.J. Watson Research Center, New York {j

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Source URL: www.research.ibm.com

Language: English - Date: 2012-08-13 11:38:17
646Behavioural sciences / Econometrics / Reddit / Personality psychology / Attitude / Logistic regression / Supervised learning / Social psychology / Culture / Statistics / Regression analysis / News websites

SIGCHI Conference Paper Format

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Source URL: www.jeffreynichols.com

Language: English - Date: 2014-04-14 21:17:44
647Data mining / Geostatistics / Hierarchical clustering / Unsupervised learning / K-means clustering / Consensus clustering / Fuzzy clustering / Statistics / Machine learning / Cluster analysis

Ch.5 Classification and Clustering In machine learning, there are two main types of learning problems, supervised and unsupervised learning. An analogy for the former is a French class where the teacher demonstrates the

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-10-12 19:53:02
648Statistical classification / Gaussian process / Relevance vector machine / Supervised learning / Support vector machine / Mixture model / Bayesian inference / Regression analysis / Gaussian adaptation / Statistics / Machine learning / Bayesian statistics

C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006, c 2006 Massachusetts Institute of Technology. www.GaussianProcess.org/gpml ISBN 026218253X. Gaussian Processes for Machin

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Source URL: www.gaussianprocess.org

Language: English
649Statistical classification / Natural language processing / Computational linguistics / Data mining / Automatic summarization / Supervised learning / Linear classifier / Naive Bayes classifier / Pattern recognition / Statistics / Machine learning / Artificial intelligence

The Use of Unlabeled Data to Improve Supervised Learning for Text Summarization Massih-Reza Amini and Patrick Gallinari Computer Science Laboratory of Paris 6 (LIP6) University of Pierre and Marie Curie 4, place de jussi

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Source URL: ama.liglab.fr

Language: English - Date: 2013-02-27 04:55:34
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