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IJCAI
2003
15 years 11 days ago
Evaluating Classifiers by Means of Test Data with Noisy Labels
Often the most expensive and time-consuming task in building a pattern recognition system is col­ lecting and accurately labeling training and testing data. In this paper, we exp...
Chuck P. Lam, David G. Stork
UAI
2004
15 years 11 days ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
UAI
1998
15 years 10 days ago
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
Ronald Parr
ACL
1996
15 years 9 days ago
Another Facet of LIG Parsing
In this paper 1 we present a new parsing algorithm for linear indexed grammars (LIGs) in the same spirit as the one described in (Vijay-Shanker and Weir, 1993) for tree adjoining ...
Pierre Boullier
ACL
1990
15 years 4 days ago
Licensing and Tree Adjoining Grammar in Government Binding Parsing
This paper presents an implemented, psychologicallyplausible parsing model for Government Binding theory grammars. I make use of two main ideas: (1) a generalization of the licens...
Robert Frank