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ICML
2009
IEEE
16 years 17 days ago
Binary action search for learning continuous-action control policies
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
Jason Pazis, Michail G. Lagoudakis
ESORICS
2009
Springer
16 years 11 days 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
DCC
2004
IEEE
15 years 11 months ago
Rate-Distortion Optimized Slicing, Packetization and Coding for Error Resilient Video Transmission
This paper presents an algorithm to optimize the tradeoff between rate and expected end-to-end distortion of a video sequence transmitted over a packet network. The approach optim...
Enrico Masala, Hua Yang, Kenneth Rose, Juan Carlos...
IEAAIE
2007
Springer
15 years 6 months ago
Intelligent OS Process Scheduling Using Fuzzy Inference with User Models
The process scheduling aims to arrange CPU time to multiple processes for providing users with more efficient throughput. Except the class of process set by user, conventional oper...
Sungsoo Lim, Sung-Bae Cho
ICCBR
2005
Springer
15 years 5 months ago
Identifying Facts for TCBR
This paper explores a method to algorithmically distinguish case-specific facts from potentially reusable or adaptable elements of cases in a textual case-based reasoning (TCBR) sy...
Jason M. Proctor, Ilya Waldstein, Rosina Weber