Data Mining (Spring 2009)
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NIPS ´08 Workshop: Optimization for Machine Learning
posted
Apr 13, 2009 4:21 PM
by Jahui chang
Video lectures available at
http://videolectures.net/opt08_whistler/
Feature Selection and Extraction
posted
Apr 7, 2009 2:01 AM
by Jahui chang
[ updated
Apr 13, 2009 3:15 PM
]
NIPS 2003 Workshop on Feature Extraction
Subspace, Latent Structure and Feature Selection techniques: Statistical and Optimisation perspectives Workshop
(
Video Lectures available)
Wiki:
Dimension reduction
Feature selection
JMLR Special Issue on Variable and Feature Selection
Bayesian Network (Supplement Information for Section 5.3)
posted
Mar 30, 2009 9:02 PM
by Jahui chang
[ updated
Mar 30, 2009 10:15 PM
]
Artificial Intelligence: A Modern Approach
by
Russell and Norvig. (2003)
Chapter 14: Probabilistic Reasoning
Chapter 20: Statistical Learning
The Elements of Statistical Learning: Data Mining, Inference and Prediction
by Hastie, Tibshirani and Friedman. (2009)
Probabilistic reasoning in intelligent systems
by Pearl (1988)
Homework 2
posted
Mar 30, 2009 8:16 PM
by Jahui chang
[ updated
Mar 30, 2009 8:20 PM
]
Part I: Chapter 4
Exercise 8.
Exercise 9.
Exercise 11.
Part II: Data mining software practice
Due: Apr. 14, 2009
Support Vector Machines (Supplement Information for Section 5.5)
posted
Mar 29, 2009 5:45 AM
by Jahui chang
[ updated
Mar 30, 2009 10:15 PM
]
Video Lectures from machine learning summer school 2006 in Taipei
videos:
http://videolectures.net/mlss06tw_lin_svm/
Slides
: http://velblod.videolectures.net/2006/pascal/mlss06_taipei/lin_chih_jen/mlss06tw_lin_svm.pdf
Chi Square Test (Supplement Information for Chapter 3)
posted
Mar 23, 2009 10:47 PM
by Jahui chang
[ updated
Mar 30, 2009 10:14 PM
]
Wiki:
http://en.wikipedia.org/wiki/Chi-square_test
Elementary Applied Statistics:
http://csyue.nccu.edu.tw/EMBA930week14.ppt
Chi-square test:
http://www.csus.edu/indiv/h/hollandb/184-genetics/lab/Heritability/The_Chi_Square_Test.ppt
Experiment Design:
http://www.cgmh.org.tw/intr/intr2/ebmlink/doc/%E7%B5%B1%E8%A8%88%E6%95%99%E5%AD%B89411.pdf
Methods for comparing classifiers (Section 4.6)
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