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AIPS
2006
15 years 8 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
ESANN
2004
15 years 8 months ago
Regularizing generalization error estimators: a novel approach to robust model selection
Abstract. A well-known result by Stein shows that regularized estimators with small bias often yield better estimates than unbiased estimators. In this paper, we adapt this spirit ...
Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert M...
WICSA
2001
15 years 8 months ago
Statechart Simulator for Modeling Architectural Dynamics
Software development is a constant endeavor to optimize qualities like performance and robustness while ensuring functional correctness. Architecture Description Languages (ADLs) ...
Alexander Egyed, David S. Wile
CDC
2008
IEEE
157views Control Systems» more  CDC 2008»
15 years 7 months ago
A hidden Markov filtering approach to multiple change-point models
We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...
Tze Leung Lai, Haipeng Xing
EMNLP
2010
15 years 4 months ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian