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ICML
2004
IEEE
16 years 7 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
BPM
2009
Springer
116views Business» more  BPM 2009»
16 years 25 days ago
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
Abstract. Recently, a new generation of adaptive Process-Aware Information Systems (PAISs) has emerged, which enables structural process changes during runtime. Such flexibility, ...
Chen Li, Manfred Reichert, Andreas Wombacher
RTSS
2002
IEEE
15 years 11 months ago
Soft Real- Time Scheduling on Simultaneous Multithreaded Processors
Simultaneous multithreading (SMT) improves processor throughput by processing instructions from multiple threads each cycle. This is the first work to explore soft real-time sche...
Rohit Jain, Christopher J. Hughes, Sarita V. Adve
SIGGRAPH
1997
ACM
15 years 10 months ago
Virtual voyage: interactive navigation in the human colon
Virtual colonoscopy is a non-invasive computerized medical procedure for examining the entire colon to detect polyps. We present an interactive virtual colonoscopy method, which u...
Lichan Hong, Shigeru Muraki, Arie E. Kaufman, Dirk...
NIPS
2001
15 years 7 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...