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ATAL
2005
Springer
14 years 4 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ICCS
2005
Springer
14 years 3 months ago
High-Fidelity Simulation of Large-Scale Structures
Active structures capable of responding to external stimulii represent the emerging frontier in structural design. Robust and real-time sensing, control, and actuation pose fundame...
Christoph Hoffmann, Ahmed H. Sameh, Ananth Grama
ACMSE
2004
ACM
14 years 3 months ago
Execution characteristics of SPEC CPU2000 benchmarks: Intel C++ vs. Microsoft VC++
Modern processors include features such as deep pipelining, multilevel cache hierarchy, branch predictors, out of order execution engine, and advanced floating point and multimedi...
Swathi Tanjore Gurumani, Aleksandar Milenkovic
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 3 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
MM
2004
ACM
100views Multimedia» more  MM 2004»
14 years 3 months ago
GURU: a multimedia distance-learning framework for users with disabilities
GURU is a distance-learning environment that renders multimedia information to users with disabilities in an accessible manner. It is an implementation framework developed as part...
Vidhya Balasubramanian, Nalini Venkatasubramanian