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ICML
2007
IEEE
16 years 8 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
ISBI
2006
IEEE
16 years 8 months ago
Continuous image representations avoid the histogram binning problem in mutual information based image registration
Mutual information (MI) based image-registration methods that use histograms are known to suffer from the so-called binning problem, caused by the absence of a principled techniqu...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
16 years 7 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
VLSID
2002
IEEE
116views VLSI» more  VLSID 2002»
16 years 7 months ago
Efficient Macromodeling for On-Chip Interconnects
The improved T and improved n models are proposed for onchip interconnect macromodeling. Using global approximations, simple approximation frames are derived and applied to modeli...
Qinwei Xu, Pinaki Mazumder
SODA
2010
ACM
197views Algorithms» more  SODA 2010»
16 years 4 months ago
Quasirandom Load Balancing
We propose a simple distributed algorithm for balancing indivisible tokens on graphs. The algorithm is completely deterministic, though it tries to imitate (and enhance) a random ...
Tobias Friedrich, Martin Gairing, Thomas Sauerwald