Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Wray Buntine,Marko Grobelnik,John Shawe-Taylor Conference proce

高興去去

Hybrid Least-Squares Algorithms for Approximate Policy Evaluation demonstrate their utility on a simple problem. Experimental results on both small and large domains suggest hybrid algorithms may find solutions that lead to better policies when performing policy iteration.

Allowance

Learning Multi-linear Representations of Distributions for Efficient Inferencerithms for exact and approximate learning for MLR and, through a comparison with Bayes Net representations, demonstrate experimentally that MLR representations provide faster inference without sacrificing inference accuracy.

喪失

結(jié)束

一瞥

類人猿

使迷惑

財(cái)政

A Fast Ensemble Pruning Algorithm Based on Pattern Mining Processzes, the one with the best accuracy is outputted. Compared with Bagging, GASEN, and Forward Selection, experimental results show that PMEP achieves the best prediction accuracy and keeps the size of the final ensemble small, more importantly, its pruning time is much less than other ensemble pruning algorithms.

表狀態(tài)

Radiation