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ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
14 years 1 months ago
Hot Item Mining and Summarization from Multiple Auction Web Sites
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
Tak-Lam Wong, Wai Lam
NIPS
2004
13 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
OOPSLA
2007
Springer
14 years 1 months ago
Software speculative multithreading for Java
We apply speculative multithreading to sequential Java programs in software to achieve speedup on existing multiprocessors. A common speculation library supports both Java bytecod...
Christopher J. F. Pickett
AAAI
2006
13 years 8 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
SIGIR
2010
ACM
13 years 11 months ago
On statistical analysis and optimization of information retrieval effectiveness metrics
This paper presents a new way of thinking for IR metric optimization. It is argued that the optimal ranking problem should be factorized into two distinct yet interrelated stages:...
Jun Wang, Jianhan Zhu