2712 search results - page 373 / 543 » On learning algorithm selection for classification |
134
Voted
BMCBI
2010
15 years 28 days ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
90
Voted
PAMI
2006
15 years 23 days ago
2006
Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance po...
ICMLA
2008
15 years 2 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
113
Voted
ML
2006
ACM
15 years 23 days ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
169
Voted
CSL
2012
Springer
13 years 8 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...