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» The Complexity of Weighted Boolean
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DNA
2005
Springer
118views Bioinformatics» more  DNA 2005»
14 years 3 months ago
Molecular Learning of wDNF Formulae
We introduce a class of generalized DNF formulae called wDNF or weighted disjunctive normal form, and present a molecular algorithm that learns a wDNF formula from training example...
Byoung-Tak Zhang, Ha-Young Jang
IJCAI
2001
13 years 11 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
NIPS
1994
13 years 11 months ago
Learning Stochastic Perceptrons Under k-Blocking Distributions
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
Mario Marchand, Saeed Hadjifaradji
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 10 months ago
Simulation vs. Equivalence
For several semirings S, two weighted finite automata with multiplicities in S are equivalent if and only if they can be connected by a chain of simulations. Such a semiring S is c...
Zoltán Ésik, Andreas Maletti
JAIR
2010
99views more  JAIR 2010»
13 years 8 months ago
Developing Approaches for Solving a Telecommunications Feature Subscription Problem
Call control features (e.g., call-divert, voice-mail) are primitive options to which users can subscribe off-line to personalise their service. The configuration of a feature su...
David Lesaint, Deepak Mehta, Barry O'Sullivan, Lui...