- Category:
- AI-NN-PR
- Tags:
-
[WORD]
- File Size:
- 208kb
- Update:
- 2012-11-26
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- Uploaded by:
- 刘阳
Description: The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots.
Core library objects
wilcoxon
Wilcoxon object- significance test of results
joint_kernel
Joint kernel object- for calculating inner products in joint feature spaces
joint_data
Joint_data object
corrt_test
corrected resampled t-test object- significance test of results
Unsupervised objects
spectral
Spectral clustering
ppca
Probabilistic Principal Components Analysis
nmf
Non-negative Matrix Factorization object
mrank
Manifold Ranking
Density Estimation objects
indep
Feature selection by independent density estimation
Feature Selection objects
r2w2_sel
Feature scaling/selection via SVMs and r^2/w^2 bound.
nfe
Non-Linear Feature Elimination
mutin
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File list (Check if you may need any files):
spider\Algorithms.doc
......\all_extra28-Jul-2006.zip
......\Spider.txt
......\新建 Microsoft Word 文档.doc
spider
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