feature_extract-0.1

所属分类:数值算法/人工智能
开发工具:C#
文件大小:320KB
下载次数:9
上传日期:2009-02-06 07:29:44
上 传 者enricolu
说明:  a function inside machine learning
(a function inside machine learning)

文件列表:
release (0, 2007-05-27)
release\classifiers (0, 2007-05-27)
release\classifiers\leastSquares (0, 2007-05-27)
release\classifiers\leastSquares\.svn (0, 2007-05-27)
release\classifiers\leastSquares\.svn\entries (959, 2007-05-26)
release\classifiers\leastSquares\.svn\format (2, 2007-03-30)
release\classifiers\leastSquares\.svn\prop-base (0, 2007-05-27)
release\classifiers\leastSquares\.svn\props (0, 2007-05-27)
release\classifiers\leastSquares\.svn\text-base (0, 2007-05-27)
release\classifiers\leastSquares\.svn\text-base\getDefaultLSRegressor.m.svn-base (374, 2007-03-23)
release\classifiers\leastSquares\.svn\text-base\leastSquaresClassifier.m.svn-base (671, 2007-02-18)
release\classifiers\leastSquares\.svn\text-base\leastSquaresRegressor.m.svn-base (846, 2007-03-23)
release\classifiers\leastSquares\.svn\text-base\leastSquaresRegressorPredict.m.svn-base (820, 2007-03-24)
release\classifiers\leastSquares\.svn\text-base\leastSquaresRegressorTrain.m.svn-base (1336, 2007-03-24)
release\classifiers\leastSquares\.svn\tmp (0, 2007-05-27)
release\classifiers\leastSquares\.svn\tmp\prop-base (0, 2007-05-27)
release\classifiers\leastSquares\.svn\tmp\props (0, 2007-05-27)
release\classifiers\leastSquares\.svn\tmp\text-base (0, 2007-05-27)
release\classifiers\leastSquares\getDefaultLSRegressor.m (374, 2007-03-23)
release\classifiers\leastSquares\leastSquaresClassifier.m (671, 2007-02-18)
release\classifiers\leastSquares\leastSquaresRegressor.m (846, 2007-03-23)
release\classifiers\leastSquares\leastSquaresRegressorPredict.m (820, 2007-03-24)
release\classifiers\leastSquares\leastSquaresRegressorTrain.m (1336, 2007-03-24)
release\classifiers\leastSquares\test (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn\entries (395, 2007-05-26)
release\classifiers\leastSquares\test\.svn\format (2, 2007-03-30)
release\classifiers\leastSquares\test\.svn\prop-base (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn\props (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn\text-base (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn\text-base\leastSquaresTest.m.svn-base (1903, 2007-03-23)
release\classifiers\leastSquares\test\.svn\tmp (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn\tmp\prop-base (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn\tmp\props (0, 2007-05-27)
release\classifiers\leastSquares\test\.svn\tmp\text-base (0, 2007-05-27)
release\classifiers\leastSquares\test\leastSquaresTest.m (1903, 2007-03-23)
release\classifiers\primalKNN (0, 2007-05-27)
release\classifiers\primalKNN\.svn (0, 2007-05-27)
release\classifiers\primalKNN\.svn\entries (691, 2007-05-26)
release\classifiers\primalKNN\.svn\format (2, 2007-03-30)
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Feature Extraction Framework ------------------------------ Here's some machine learning code for conducting feature extraction experiments. All all very beta, so use it at your own risk.

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