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» A Practical Approach of Diffusion Load Balancing Algorithms
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ATAL
2009
Springer
14 years 2 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
MICCAI
2010
Springer
13 years 6 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
13 years 9 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
NOCS
2010
IEEE
13 years 5 months ago
Asynchronous Bypass Channels: Improving Performance for Multi-synchronous NoCs
Abstract--Networks-on-Chip (NoC) have emerged as a replacement for traditional shared-bus designs for on-chip communications. As with all current VLSI designs, however, reducing po...
Tushar N. K. Jain, Paul V. Gratz, Alexander Sprint...
VLDB
2007
ACM
181views Database» more  VLDB 2007»
14 years 7 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...