<--- Back to Details
First PageDocument Content
Artificial intelligence / Perceptron / Supervised learning / Neural network / Training set / Binary classification / Linear classifier / Margin classifier / Statistics / Machine learning / Statistical classification
Date: 2014-05-28 15:45:03
Artificial intelligence
Perceptron
Supervised learning
Neural network
Training set
Binary classification
Linear classifier
Margin classifier
Statistics
Machine learning
Statistical classification

436 Chapter 12 Large-Scale Machine Learning

Add to Reading List

Source URL: infolab.stanford.edu

Download Document from Source Website

File Size: 328,39 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