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AAAI
1998
15 years 8 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
NC
1998
143views Neural Networks» more  NC 1998»
15 years 8 months ago
Spotting Arabic Phonetic Features Using Modular Connectionist Architectures and a Rule-Based System
This paper reports the results of experiments in complex Arabic phonetic features identification using a rulebased system (SARPH) and modular connectionist architectures. The firs...
Sid-Ahmed Selouani, Jean Caelen
UAI
1996
15 years 8 months ago
A Qualitative Markov Assumption and Its Implications for Belief Change
The study of belief change has been an active area in philosophy and AI. In recent years, two special cases of belief change, belief revision and belief update, have been studied ...
Nir Friedman, Joseph Y. Halpern
CORR
2008
Springer
227views Education» more  CORR 2008»
15 years 6 months ago
An experimental analysis of Lemke-Howson algorithm
We present an experimental investigation of the performance of the Lemke-Howson algorithm, which is the most widely used algorithm for the computation of a Nash equilibrium for bi...
Bruno Codenotti, Stefano De Rossi, Marino Pagan
CORR
2006
Springer
104views Education» more  CORR 2006»
15 years 6 months ago
Modeling Adversaries in a Logic for Security Protocol Analysis
Logics for security protocol analysis require the formalization of an adversary model that specifies the capabilities of adversaries. A common model is the Dolev-Yao model, which c...
Joseph Y. Halpern, Riccardo Pucella