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ISMB
1993
15 years 8 months ago
A Modular Learning Environment for Protein Modeling
Wepropose in this paper a modularlearning environmentfor proteinmodeling.In this system,the protein modelingproblemis tackledin twosuccessive phases. First, partial structural inf...
Jérôme Gracy, Laurent Chiche, Jean Sa...
ISLPED
2010
ACM
202views Hardware» more  ISLPED 2010»
15 years 7 months ago
MODEST: a model for energy estimation under spatio-temporal variability
Estimation of static and dynamic energy of caches is critical for high-performance low-power designs. Commercial CAD tools performing energy estimation statically are not aware of...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...
CORR
2007
Springer
142views Education» more  CORR 2007»
15 years 7 months ago
Resource and Application Models for Advanced Grid Schedulers
: As Grid computing is becoming an inevitable future, managing, scheduling and monitoring dynamic, heterogeneous resources will present new challenges. Solutions will have to be ag...
Aleksandar Lazarevic, Lionel Sacks
NECO
2002
105views more  NECO 2002»
15 years 6 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
WSC
1997
15 years 8 months ago
Integration of Simulation with Enterprise Models
The Enterprise Modeling Framework (EMF) consists of a methodology for modeling the three major facets of an enterprise, viz., function, information and dynamics. Its main goal is ...
Krishnamurthy Srinivasan, Sundaresan Jayaraman