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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 4 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
UAI
2001
15 years 1 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
LANMR
2007
15 years 1 months ago
Teaching natural deduction to improve text argumentation analysis in engineering students
Teaching engineering students courses such as computer science theory, automata theory and discrete mathematics took us to realize that introducing basic notions of logic, especial...
Rogelio Dávila, Sara C. Hernández, J...
FMCAD
2008
Springer
15 years 2 months ago
Automatic Non-Interference Lemmas for Parameterized Model Checking
Parameterized model checking refers to any method that extends traditional, finite-state model checking to handle systems arbitrary number of processes. One popular approach to thi...
Jesse D. Bingham
TAL
2010
Springer
14 years 7 months ago
A Formal Ontology for a Computational Approach of Time and Aspect
This paper provides a linguistic semantic analysis of time and aspect in natural languages. On the basis of topological concepts, notions are introduced like the basic aspectual op...
Aurelien Arena, Jean-Pierre Desclés