Language model adaptation with MAP estimation and the perceptron algorithm Michiel Bacchiani, Brian Roark and Murat Saraclar AT&T Labs-Research, 180 Park Ave., Florham Park, NJ 07932, USA {michiel,roark,murat}@research.a

Source URL: www.aclweb.org

NLP Programming Tutorial 3 – The Perceptron Algorithm NLP Programming Tutorial 3 The Perceptron Algorithm Graham Neubig Nara Institute of Science and Technology (NAIST)

Source URL: www.phontron.com

Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade

Source URL: stat.wharton.upenn.edu

Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms Michael Collins AT&T Labs-Research, Florham Park, New Jersey. Abstract

Source URL: www.cs.columbia.edu

Online Learning via Stochastic Optimization, and Perceptron Piyush Rai Machine Learning (CS771A) Aug 20, 2016

Source URL: cse.iitk.ac.in

Incremental Parsing with the Perceptron Algorithm Michael Collins MIT CSAIL Abstract

Source URL: www.aclweb.org

Psychological Review Vol. 65, No. 6, 19S8 THE PERCEPTRON: A PROBABILISTIC MODEL FOR INFORMATION STORAGE AND ORGANIZATION IN THE BRAIN 1

Source URL: www.ling.upenn.edu

Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm Brian Roark Murat Saraclar AT&T Labs - Research {roark,murat}@research.att.com

Source URL: www.aclweb.org

Using the Perceptron Algorithm to Find Consistent Hypotheses Martin Anthony Department of Statistical and Mathematical Sciences London School of Economics, Houghton Street, London WC2A 2AE, UK.

Source URL: www.maths.lse.ac.uk

PDF Document

Source URL: www.work.caltech.edu

• Machine learning
• Learning
• Artificial intelligence
• Cognition
• Perceptron
• Supervised learning
• Expected value
• Probability distribution
• Online machine learning
• Error Tolerance