<--- Back to Details
First PageDocument Content
Linear classifier / Classifier / Gain / Boosting methods for object categorization / Random subspace method / Statistics / Statistical classification / Margin classifier
Date: 2012-02-28 20:30:06
Linear classifier
Classifier
Gain
Boosting methods for object categorization
Random subspace method
Statistics
Statistical classification
Margin classifier

Protocols for Learning Classifiers on Distributed Data Hal Daum´e III Je↵ M. Phillips University of Maryland, CP University of Utah Suresh Venkatasubramanian

Add to Reading List

Source URL: www.cs.utah.edu

Download Document from Source Website

File Size: 2,77 MB

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 –

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

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

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

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

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