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NIPS
2007
15 years 8 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
ACL
2001
15 years 8 months ago
Using Machine Learning Techniques to Interpret WH-questions
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
Ingrid Zuckerman, Eric Horvitz
ESANN
2001
15 years 8 months ago
Some known facts about financial data
: Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfac...
Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
SIS
2004
15 years 8 months ago
Towards a Systematic Development of Secure Systems
In this paper we outline a new process model for security engineering. This process model extends object oriented, use case driven software development by the systematic treatment ...
Ruth Breu, Klaus Burger, Michael Hafner, Gerhard P...
ACL
1998
15 years 8 months ago
An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars
We present an empirical study of the applicability of Probabilistic Lexicalized Tree Insertion Grammars (PLTIG), a lexicalized counterpart to Probabilistic Context-Free Grammars (...
Rebecca Hwa