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ICGI
1994
Springer
14 years 1 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro
AAAI
2007
13 years 12 months ago
Topological Mapping with Weak Sensory Data
In this paper, we consider the exploration of topological environments by a robot with weak sensory capabilities. We assume only that the robot can recognize when it has reached a...
Gregory Dudek, Dimitri Marinakis
CORR
2008
Springer
112views Education» more  CORR 2008»
13 years 9 months ago
The Fundamental Problem with the Building Block Hypothesis
Skepticism of the building block hypothesis has previously been expressed on account of the weak theoretical foundations of this hypothesis and anomalies in the empirical record o...
Keki M. Burjorjee
JIFS
2002
107views more  JIFS 2002»
13 years 9 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...
NIPS
2000
13 years 11 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek