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» Context Modeling: Task Model and Practice Model
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130
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ICML
2010
IEEE
15 years 5 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
MODELS
2007
Springer
15 years 10 months ago
A Generic Approach for Automatic Model Composition
Analyzing and modelling a software system with separate views is a good practice to deal with complexity and maintainability. When adopting such a modular approach for modelling, i...
Franck Fleurey, Benoit Baudry, Robert B. France, S...
ECML
2007
Springer
15 years 10 months ago
Learning from Relevant Tasks Only
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
Samuel Kaski, Jaakko Peltonen
132
Voted
ICTAI
2005
IEEE
15 years 10 months ago
Good Learning and Implicit Model Enumeration
A large number of practical applications rely on effective algorithms for propositional model enumeration and counting. Examples include knowledge compilation, model checking and ...
António Morgado, João P. Marques Sil...
ECOOPW
1998
Springer
15 years 8 months ago
Evaluation of Object-Oriented Reflective Models
In this paper we explore the object-oriented reflective world, performing an overview of the existing models and presenting a set of features suitable to evaluate the quality of e...
Walter Cazzola