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TSMC
2008
132views more  TSMC 2008»
15 years 6 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
IJON
2010
119views more  IJON 2010»
15 years 5 months ago
Hyperparameter learning in probabilistic prototype-based models
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
Petra Schneider, Michael Biehl, Barbara Hammer
CVPR
2011
IEEE
14 years 10 months ago
Supervised Hypergraph Labeling
We address the problem of labeling individual datapoints given some knowledge about (small) subsets or groups of them. The knowledge we have for a group is the likelihood value fo...
Toufiq Parag, Ahmed Elgammal
RECOMB
2006
Springer
16 years 7 months ago
Alignment Statistics for Long-Range Correlated Genomic Sequences
It is well known that the base composition along eukaryotic genomes is long-range correlated. Here, we investigate the effect of such long-range correlations on alignment score sta...
Philipp W. Messer, Ralf Bundschuh, Martin Vingron,...
ALT
2008
Springer
16 years 3 months ago
Active Learning in Multi-armed Bandits
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
András Antos, Varun Grover, Csaba Szepesv&a...