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AI
2002
Springer
14 years 9 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
ISCAS
1999
IEEE
132views Hardware» more  ISCAS 1999»
15 years 2 months ago
Complex discriminative learning Bayesian neural equalizer
Traditional approaches to channel equalization are based on the inversion of the global (linear or nonlinear) channel response. However, in digital links the complete channel inve...
Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio,...
RIAO
2000
14 years 11 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...
FC
2010
Springer
132views Cryptology» more  FC 2010»
15 years 1 months ago
A Learning-Based Approach to Reactive Security
Despite the conventional wisdom that proactive security is superior to reactive security, we show that reactive security can be competitive with proactive security as long as the r...
Adam Barth, Benjamin I. P. Rubinstein, Mukund Sund...
SIGIR
2008
ACM
14 years 10 months ago
Query-drift prevention for robust query expansion
Pseudo-feedback-based automatic query expansion yields effective retrieval performance on average, but results in performance inferior to that of using the original query for many...
Liron Zighelnic, Oren Kurland