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CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 6 months ago
Nonmonotonic Reasoning, Preferential Models and Cumulative Logics
Many systems that exhibit nonmonotonic behavior have been described and studied already in the literature. The general notion of nonmonotonic reasoning, though, has almost always ...
Sarit Kraus, Daniel J. Lehmann, Menachem Magidor
IJON
2000
105views more  IJON 2000»
15 years 6 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
JAIR
2000
102views more  JAIR 2000»
15 years 6 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
MOC
2000
71views more  MOC 2000»
15 years 6 months ago
Zeroes of Dirichlet L-functions and irregularities in the distribution of primes
Seven widely spaced regions of integers with 4,3(x) < 4,1(x) have been discovered using conventional prime sieves. Assuming the generalized Riemann hypothesis, we modify a resul...
Carter Bays, Richard H. Hudson
ALGORITHMICA
1998
103views more  ALGORITHMICA 1998»
15 years 6 months ago
On Bayes Methods for On-Line Boolean Prediction
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
Nicolò Cesa-Bianchi, David P. Helmbold, San...
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