176 search results - page 28 / 36 » Optimal Sample Selection for Batch-mode Reinforcement Learni... |
COLT
2008
Springer
13 years 9 months ago
2008
Springer
In this paper, we investigate stability-based methods for cluster model selection, in particular to select the number K of clusters. The scenario under consideration is that clust...
GECCO
2009
Springer
14 years 9 days ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
NIPS
2007
13 years 9 months ago
2007
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
TMI
2010
13 years 2 months ago
2010
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...