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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 5 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
FASE
2007
Springer
14 years 1 months ago
Flexible and Extensible Notations for Modeling Languages
Abstract. In model-based development, a formal description of the software (the model) is the central artifact that drives other development activities. The availability of a model...
Jimin Gao, Mats Per Erik Heimdahl, Eric Van Wyk
ECCV
2002
Springer
14 years 9 months ago
Dynamic Trees: Learning to Model Outdoor Scenes
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...
Nicholas J. Adams, Christopher K. I. Williams
HICSS
2007
IEEE
212views Biometrics» more  HICSS 2007»
14 years 1 months ago
Fully-automatic generation of user interfaces for multiple devices from a high-level model based on communicative acts
The problems involved in the development of user interfaces become even more severe through the ubiquitous use of a variety of devices such as PCs, mobile phones and PDAs. Each of...
Jürgen Falb, Roman Popp, Thomas Röck, He...
COMPSAC
2006
IEEE
14 years 1 months ago
On the Distribution of Property Violations in Formal Models: An Initial Study
Model-checking techniques are successfully used in the verification of both hardware and software systems of industrial relevance. Unfortunately, the capability of current techni...
Jimin Gao, Mats Per Erik Heimdahl, David Owen, Tim...