Titlebook: Machine Learning: ECML-98; 10th European Confer Claire Nédellec,Céline Rouveirol Conference proceedings 1998 Springer-Verlag Berlin Heidelb

Atmosphere

JIBE

Bayesian and information-theoretic priors for Bayesian network parameters,ation-theoretic approaches are based on the recently modified definition of . by Rissanen, and on the Minimum Message Length (MML) approach by Wallace. The Bayesian alternatives include the uniform prior, and the equivalent sample size priors. In order to be able to empirically compare the different

細(xì)胞

modifier

庇護(hù)

Inducing models of human control skills,rse engineering human control skills than any other previously proposed models. The experimental results show a considerable increase in robustness of the controllers that use the new model. The new model also attenuates the problem of unbalanced classes, noticed already in previous experiments. By

headway

擔(dān)憂

Pruning decision trees with misclassification costs,mon methods for error minimization, CART‘s cost-complexity pruning and C4.5‘s error-based pruning, we study the extension of cost-complexity pruning to loss and one pruning variant based on the Laplace correction. We perform an empirical comparison of these methods and evaluate them with respect to

壓倒性勝利

陳舊

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620760.jpg

潛移默化