Feature learning

Results: 920



#Item
881Statistical classification / Multivariate statistics / Support vector machine / Prostate cancer / DNA microarray / Machine learning / Cancer / Non-negative matrix factorization / Data mining / Statistics / Medicine / Biology

Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation

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Source URL: www.ncbi.nlm.nih.gov

Language: English
882Model selection / Bayesian statistics / K-nearest neighbor algorithm / Support vector machine / Feature selection / Cross-validation / Linear discriminant analysis / Naive Bayes classifier / Supervised learning / Statistics / Statistical classification / Machine learning

SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds

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Source URL: www.ncbi.nlm.nih.gov

Language: English
883Regression analysis / Machine learning / Singular value decomposition / Least squares support vector machine / Support vector machine / Dimension reduction / Kernel principal component analysis / Principal component analysis / Feature selection / Statistics / Multivariate statistics / Statistical classification

SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds

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Source URL: www.ncbi.nlm.nih.gov

Language: English
884Classification rule / Weka / Feature selection / Statistics / Machine learning / Statistical classification

SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds

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Source URL: www.ncbi.nlm.nih.gov

Language: English
885Microarrays / Formal sciences / Ensemble learning / Random forest / Feature selection / DNA microarray / Gene expression profiling / Bioinformatics / Randomness / Statistics / Machine learning / Biology

SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds

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Source URL: www.ncbi.nlm.nih.gov

Language: English
886Dimension reduction / Machine learning / Statistical classification / Feature / Classifier / Precision and recall / Support vector machine / Boosting methods for object categorization / Statistics / Computer vision / Image processing

A Novel Feature Selection Strategy for Enhanced Biomedical Event Extraction Using the Turku System

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Source URL: www.ncbi.nlm.nih.gov

Language: English
887Learning / Speech recognition / Supervised learning / Spectrogram / Semi-supervised learning / K-nearest neighbor algorithm / Unsupervised learning / Neural network / Support vector machine / Machine learning / Artificial intelligence / Statistics

Unsupervised feature learning for audio classification using convolutional deep belief networks

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Source URL: ai.stanford.edu

Language: English - Date: 2009-11-03 17:17:35
888Non-parametric statistics / Statistical classification / Support vector machine / Supervised learning / Feature selection / Kernel / Linux kernel / Cross-validation / Reproducing kernel Hilbert space / Statistics / Machine learning / Model selection

Supervised Feature Selection via Dependence Estimation Le Song

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:25:56
889Support vector machines / Artificial intelligence / Bees algorithm / Feature selection / Least squares support vector machine / Ranking SVM / Statistics / Machine learning / Statistical classification

Using the Bees Algorithm to Optimise a Support Vector Machine for Wood Defect Classification D.T. Pham, Z. Muhamad, M. Mahmuddin,

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Source URL: pdf.aminer.org

Language: English - Date: 2011-10-18 09:39:47
890Artificial intelligence / Linear classifier / Classification rule / Classifier / Supervised learning / Pattern recognition / Feature selection / Classification in machine learning / Boosting methods for object categorization / Statistics / Machine learning / Statistical classification

A review of data complexity measures and their applicability to pattern classification problems J. M. Sotoca, J. S. Sánchez, R. A. Mollineda

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Source URL: www.lsi.us.es

Language: English - Date: 2005-08-22 12:32:56
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