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» Learning Model Complexity in an Online Environment
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TC
2002
14 years 11 months ago
Dynamic Power Management for Nonstationary Service Requests
Dynamic Power Management (DPM) is a design methodology aiming at reducing power consumption of electronic systems by performing selective shutdown of idle system resources. The eff...
Eui-Young Chung, Luca Benini, Alessandro Bogliolo,...
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
15 years 6 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
VR
2008
IEEE
128views Virtual Reality» more  VR 2008»
15 years 6 months ago
GVT: a platform to create virtual environments for procedural training
The use of Virtual Environments for Training is strongly stimulated by important needs for training on sensitive equipments. Yet, developing such an application is often done with...
Stéphanie Gerbaud, Nicolas Mollet, Franck G...
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 5 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
HASKELL
2007
ACM
15 years 3 months ago
A lightweight interactive debugger for haskell
This paper describes the design and construction of a Haskell source-level debugger built into the GHCi interactive environment. We have taken a pragmatic approach: the debugger i...
Simon Marlow, José Iborra, Bernard Pope, An...