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IJCAI
1997
13 years 9 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
IANDC
2006
102views more  IANDC 2006»
13 years 7 months ago
Polynomial certificates for propositional classes
This paper studies the complexity of learning classes of expressions in propositional logic from equivalence queries and membership queries. In particular, we focus on bounding th...
Marta Arias, Aaron Feigelson, Roni Khardon, Rocco ...
JMLR
2006
116views more  JMLR 2006»
13 years 7 months ago
Point-Based Value Iteration for Continuous POMDPs
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...
SIGECOM
2008
ACM
122views ECommerce» more  SIGECOM 2008»
13 years 7 months ago
On the windfall of friendship: inoculation strategies on social networks
This paper studies a virus inoculation game on social networks. A framework is presented which allows the measuring of the windfall of friendship, i.e., how much players benefit i...
Dominic Meier, Yvonne Anne Oswald, Stefan Schmid, ...
VLSISP
2002
103views more  VLSISP 2002»
13 years 7 months ago
A New Class of Efficient Block-Iterative Interference Cancellation Techniques for Digital Communication Receivers
A new and efficient class of nonlinear receivers is introduced for digital communication systems. These "iterated-decision" receivers use optimized multipass algorithms t...
Albert M. Chan, Gregory W. Wornell