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ECML
1991
Springer
14 years 1 months ago
A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Gheorghe Tecuci
AAAI
2007
14 years 7 days ago
Mapping and Revising Markov Logic Networks for Transfer Learning
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Moon...
ESANN
2003
13 years 11 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre
IJCAI
1993
13 years 11 months ago
An Inductive Approach to Learning Search Control Rules for Planning
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Christopher Leckie, Ingrid Zukerman
ICMLA
2010
13 years 7 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...