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ICML
1999
IEEE
16 years 7 months ago
Implicit Imitation in Multiagent Reinforcement Learning
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
Bob Price, Craig Boutilier
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 7 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
151
Voted
PERCOM
2008
ACM
16 years 6 months ago
Provably Correct Pervasive Computing Environments
The field of pervasive computing has seen a lot of exciting innovations in the past few years. However, there are currently no mechanisms for describing the properties and capabil...
Anand Ranganathan, Roy H. Campbell
ICCAD
2001
IEEE
163views Hardware» more  ICCAD 2001»
16 years 3 months ago
Predicting the Performance of Synchronous Discrete Event Simulation Systems
In this paper we propose a model to predict the performance of synchronous discrete event simulation. The model considers parameters including the number of active objects per cyc...
Jinsheng Xu, Moon-Jung Chung
ISBI
2009
IEEE
16 years 1 months ago
Structural Annotation of EM Images by Graph Cut
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
Hang Chang, Manfred Auer, Bahram Parvin