<--- Back to Details
First PageDocument Content
Statistical classification / Computational learning theory / Machine learning / Linear algebra / Empirical process / VC dimension / Support vector machine / Structural risk minimization / Shattered set / Statistics / Algebra / Mathematics
Date: 2004-12-10 16:10:53
Statistical classification
Computational learning theory
Machine learning
Linear algebra
Empirical process
VC dimension
Support vector machine
Structural risk minimization
Shattered set
Statistics
Algebra
Mathematics

c , , 1–43 ()

Add to Reading List

Source URL: research.microsoft.com

Download Document from Source Website

File Size: 651,76 KB

Share Document on Facebook

Similar Documents

video demo  End-User Web Scraping: Google Scholar Edition Sarah Chasins

video demo End-User Web Scraping: Google Scholar Edition Sarah Chasins

DocID: 13Fi9 - View Document

6.867 Machine learning, lecture 10 (Jaakkola)  1 Lecture topics: model selection criteria • Structural risk minimization, example derivation

6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivation

DocID: 10Ksg - View Document

Semi-Supervised Support Vector Machines Kristin P. Bennett∗ Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY[removed]removed]

Semi-Supervised Support Vector Machines Kristin P. Bennett∗ Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY[removed]removed]

DocID: TncX - View Document

UB at TREC-11: Batch and Adaptive Filtering M. Srikanth X. Wu  R. Srihari

UB at TREC-11: Batch and Adaptive Filtering M. Srikanth X. Wu R. Srihari

DocID: Dh2t - View Document

Minimum Reference Set Based Feature Selection for Small Sample Classifications Xue-wen Chen [removed] Jong Cheol Jeong

Minimum Reference Set Based Feature Selection for Small Sample Classifications Xue-wen Chen [removed] Jong Cheol Jeong

DocID: rQpA - View Document