'Error probabilities' diaporamas de présentation

Bayesian Learning for Conditional Models

Bayesian Learning for Conditional Models. Alan Qi MIT CSAIL September, 2005 Joint work with T. Minka, Z. Ghahramani, M. Szummer, and R. W. Picard. Motivation. Two types of graphical models: generative and conditional Conditional models: Make no assumptions about data generation

726 views • 50 slides

CSA3202: Natural Language Processing

394 views • 26 slides

CSA3202: Natural Language Processing

374 views • 26 slides

Human Language Technology

Human Language Technology. Spelling Models. References. Eric Mays, Fred J. Damerau, and Robert L. Mercer. 1991. Context based spelling correction. Inf. Process. Manage. 27, 5 (September 1991), 517-522.

303 views • 17 slides

CSA4050: Advanced Topics in NLP

CSA4050: Advanced Topics in NLP. Spelling Models. Confusion Set. The confusion set of a word w includes w along with all words in the dictionary D such that O can be derived from w by a single application of one of the four edit operations: Add a single letter. Delete a single letter.

269 views • 15 slides

CSA4050: Advanced Topics in NLP

CSA4050: Advanced Topics in NLP. Spelling Models. Confusion Set. The confusion set of a word w includes w along with all words in the dictionary D such that O can be derived from w by a single application of one of the four edit operations: Add a single letter. Delete a single letter.

154 views • 15 slides

Link-System Interface Simulation Methodologies

Link-System Interface Simulation Methodologies. Anna Tee Seokhyun Yoon Joseph Cleveland June 29, 2004. Topics. Problem statements Advantages & Requirements of a Link-System Simulation Interface (aka: PHY Abstraction) Methodology

245 views • 12 slides

Max Albert, Justus Liebig University Giessen A Falsificationist Theory of Statistical Inference

Max Albert, Justus Liebig University Giessen A Falsificationist Theory of Statistical Inference. 1. The Problem 1.1 Critical Rationalism (CR) 1.2 Extending CR to Statistics 2. Maximizing Empirical Content 3. Conclusions. 1.1 Critical Rationalism (CR). Ingredients

112 views • 10 slides