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ICML
2007
IEEE
16 years 5 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...
ESORICS
2009
Springer
16 years 5 months ago
Data Structures with Unpredictable Timing
Abstract. A range of attacks on network components, such as algorithmic denial-of-service attacks and cryptanalysis via timing attacks, are enabled by data structures for which an ...
Darrell Bethea, Michael K. Reiter
138
Voted
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 5 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
CHI
2005
ACM
16 years 5 months ago
Interactive search in large video collections
We present a search interface for large video collections with time-aligned text transcripts. The system is designed for users such as intelligence analysts that need to quickly f...
Andreas Girgensohn, John Adcock, Matthew L. Cooper...
116
Voted
CHI
2004
ACM
16 years 5 months ago
Gooey interfaces: an approach for rapidly repurposing digital content
With the acceleration of technological development we are reaching the point where our systems and their user interfaces become to some degree outdated 'legacy systems' ...
Les Nelson, Elizabeth F. Churchill, Laurent Denoue...