A system of research planning and learning utilizing explanation-based learning, partial evaluation, experimentation, graphical knowledge acquisition, automatic abstraction, mixed-initiative planning, and case-based reasoning. [Free]

Selected FAQ lists from Usenet groups related to natural language processing.

Machine readable parts of NLP textbooks, NLP corpora and dictionaries, fonts, and software.

A shareware clone of Racter.

Statistical machine learning, text and natural language processing, information retrieval, information theory.

Statistical learning, machine learning approaches to computational biology, pattern recognition and control.

Multitask learning.

Carnegie Mellon University. Interests include machine learning, approximation algorithms, on-line algorithms and planning systems. Online publications and talks.

Carnegie Mellon School of Computer Science. Phd Student. Intersection of computer science and game theory, computer science and economics, multiagent systems, automated negotiation and contracting.

Carnegie Mellon. Euclidean, differential or algebraic geometrical intuitions underlying statistical models and algorithms. Discrete mathematics and sequential models. Applications to textual data, biological sequences, communication networks and privacy.