<--- Back to Details
First PageDocument Content
Econometrics / Statistical classification / Supervised learning / Generalization error / Regularization / VC dimension / Linear regression / Errors and residuals in statistics / Statistics / Machine learning / Regression analysis
Date: 2014-07-09 00:45:51
Econometrics
Statistical classification
Supervised learning
Generalization error
Regularization
VC dimension
Linear regression
Errors and residuals in statistics
Statistics
Machine learning
Regression analysis

Contents Prefa e vii 1 The Learning Problem

Add to Reading List

Source URL: www.amlbook.com

Download Document from Source Website

File Size: 83,75 KB

Share Document on Facebook

Similar Documents

Advanced Methods in Statistical Classification SS 2013 Type Schedule / Room V3 Block course 01 April to 19th April Mo-Fr 1000 –

DocID: 1uQKO - View Document

Statistical and Computational Challenges in Networks and Cybersecurity Community Detection and Classification in Hierarchical Stochastic Blockmodels Carey E. Priebe

DocID: 1u9u0 - View Document

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University

DocID: 1tgDg - View Document

On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance Aditya Krishna Menon University of California, San Diego, La Jolla CA 92093, USA

DocID: 1sKKN - View Document

SEMINAR ON STATISTICAL MAPPING This seminar, held in two sessions on Monday and Wednesday afternoons, dealt with statistical mapping, map generalization and classification. Papers were presented by JEAN-CLAUDE MULLER, R

DocID: 1szhk - View Document