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IJCAI
2001
13 years 11 months ago
The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource constraints, and winner determination in combinatorial auctions are all example...
Dale Schuurmans, Finnegan Southey, Robert C. Holte
NIPS
2004
13 years 11 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
ACL
1998
13 years 11 months ago
A Concept-based Adaptive Approach to Word Sense Disambiguation
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
Jen Nan Chen, Jason S. Chang
ISMB
1993
13 years 11 months ago
The Induction of Rules for Predicting Chemical Carcinogenesis in Rodents
This paper presents results from an ongoing effort in applying a variety of induction-based methods to the problem of predicting the biological activity of noncongeneric (structu...
Dennis Bahler, Douglas W. Bristol
ICPR
2010
IEEE
13 years 10 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl