<--- Back to Details
First PageDocument Content
Stochastic optimization / Statistical classification / Perceptron / Support vector machine / Stochastic gradient descent / Stability / Stochastic approximation / Gradient descent / Kernel trick / Machine learning / Statistics / Numerical analysis
Date: 2008-09-11 13:00:50
Stochastic optimization
Statistical classification
Perceptron
Support vector machine
Stochastic gradient descent
Stability
Stochastic approximation
Gradient descent
Kernel trick
Machine learning
Statistics
Numerical analysis

Add to Reading List

Source URL: www.stat.purdue.edu

Download Document from Source Website

File Size: 681,46 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