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» Learning for Dynamic Subsumption
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138
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TSMC
2008
135views more  TSMC 2008»
15 years 2 months ago
Wholesale Power Price Dynamics Under Transmission Line Limits: A Use of an Agent-Based Intelligent Simulator
Abstract--This research proposes a use of an agent-based intelligent simulator to numerically examine the influence of a transmission line limit on the dynamics of a wholesale powe...
Toshiyuki Sueyoshi, Gopalakrishna Reddy Tadiparthi
ICML
2009
IEEE
16 years 3 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
124
Voted
ICML
2007
IEEE
16 years 3 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
152
Voted
ECCB
2003
IEEE
15 years 8 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
140
Voted
ATAL
2007
Springer
15 years 6 months ago
On Choosing an Efficient Service Selection Mechanism in Dynamic Environments
Consumers use service selection mechanisms to decide on a service provider to interact with. Although there are various service selection mechanisms, each mechanism has different s...
Murat Sensoy, Pinar Yolum