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CP
2009
Springer
14 years 7 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
AMAI
2004
Springer
14 years 12 days ago
Bayesian Model Averaging Across Model Spaces via Compact Encoding
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Ke Yin, Ian Davidson
GPEM
2000
121views more  GPEM 2000»
13 years 6 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
ALT
2003
Springer
14 years 4 months ago
On the Existence and Convergence of Computable Universal Priors
Solomonoff unified Occam’s razor and Epicurus’ principle of multiple explanations to one elegant, formal, universal theory of inductive inference, which initiated the field...
Marcus Hutter
MLG
2007
Springer
14 years 1 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich