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NIPS
2000
15 years 8 months ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
ACL
1993
15 years 8 months ago
Automatic Grammar Induction and Parsing Free Text: A Transformation-Based Approach
In this paper we describe a new technique for parsing free text: a transformational grammar I is automatically learned that is capable of accurately parsing text into binary-branc...
Eric Brill
191
Voted
IJCAI
1989
15 years 8 months ago
An Algebraic Approach to Constraint Satisfaction Problems
A constraint satisfaction problem, or CSP, can be reformulated as an integer linear programming problem. The reformulated problem can be solved via polynomial multiplication. If t...
Igor Rivin, Ramin Zabih
ICA
2010
Springer
15 years 8 months ago
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
Mehrdad Yaghoobi, Mike E. Davies
ICML
2010
IEEE
15 years 8 months ago
Learning Programs: A Hierarchical Bayesian Approach
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
Percy Liang, Michael I. Jordan, Dan Klein