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139
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AIIA
2007
Springer
15 years 8 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 7 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
161
Voted
CG
2008
Springer
15 years 2 months ago
Practical global illumination for interactive particle visualization
Particle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualizations of the resul...
Christiaan P. Gribble, Carson Brownlee, Steven G. ...
132
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TCAD
2008
103views more  TCAD 2008»
15 years 2 months ago
Topology-Based Performance Analysis and Optimization of Latency-Insensitive Systems
Latency-insensitive protocols allow system-on-chip (SoC) engineers to decouple the design of the computing cores from the design of the intercore communication channels while follo...
Rebecca L. Collins, Luca P. Carloni
144
Voted
MOBIHOC
2008
ACM
16 years 2 months ago
Fast and quality-guaranteed data streaming in resource-constrained sensor networks
In many emerging applications, data streams are monitored in a network environment. Due to limited communication bandwidth and other resource constraints, a critical and practical...
Emad Soroush, Kui Wu, Jian Pei