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NIPS
1996
15 years 8 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
ICML
2010
IEEE
15 years 7 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
AIR
2010
95views more  AIR 2010»
15 years 6 months ago
A taxonomy of argumentation models used for knowledge representation
Understanding argumentation and its role in human reasoning has been a continuous subject of investigation for scholars from the ancient Greek philosophers to current researchers ...
Jamal Bentahar, Bernard Moulin, Micheline Bé...
CCE
2008
15 years 6 months ago
Structured modeling for processes: A thermodynamical network theory
We review the use of bond graphs for modeling of physico-chemical processes. We recall that bond graphs define a circuit-type language which root on a thermodynamical consistent d...
Françoise Couenne, Christian Jallut, Bernha...
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JSA
2006
103views more  JSA 2006»
15 years 6 months ago
FMESP: Framework for the modeling and evaluation of software processes
Nowadays, organizations face with a very high competitiveness and for this reason they have to continuously improve their processes. Two key aspects to be considered in the softwa...
Félix García, Mario Piattini, Franci...