Statistics 218: Fall 2009
Statistical Data Mining

Lecture Schedule

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Date	Reading	Topic
Aug. 26	No Class	Instructor is in South Africa
28	p. 1-22  HTF	Introduction
Sept. 2	p. 22-39 HTF	Regression, COD
4	p. 43-61 HTF	Nonparametric Regression
7 (make-up)	139-167	Nonparametric Regression
9	p. 389-414 HTF	Neural Nets
11	No Readings	Comparing Methods, Local Dimension
14 (make-up)	p. 61-93 HTF	LARS and Lasso
16	No Class	Instructor is at Oxford
18	No Class	Instructor is at Oxford
21 (make-up)	No Readings	TBD
23	p. 101-135 HTF	Classification
25	p. 417-455 HTF	Support Vector Machines
30	p. 587-602 HTF	Random Forests
Oct. 2	p. 337-384 HTF	Boosting
7	p. 605-624 HTF	Ensembles
9	p. 261-292 HTF	Bayesian Model Averaging
14	p. 219-257 HTF	PAC Bounds, VC Classes
16	p. 459-480 HTF	Cluster Analysis
19 (make-up)	p. 485-528 HTF	Mixture Models, EM Algorithm
21	p. 528-578	SOMs, MDS
23	No Class	Instructor is at Carnegie Mellon
28	p. 534-578 HTF	Sparsity
30	p. 649-693 HTF	p >> n
4	No Class	Instructor is at NISS
6	TBD	Class Presentations
9 (make-up)	TBD	Class Presentations
11	TBD	Class Presentations
13	TBD	Class Presentations
16 (make-up)	TBD	Class Presentations
18	No Class	Instructor is at Rutgers
20	No Class	Instructor is at DIMACS