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PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
16 years 1 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
PKDD
2009
Springer
110views Data Mining» more  PKDD 2009»
16 years 1 months ago
Using Temporal Language Models for Document Dating
Abstract. In order to increase precision in searching for web pages or web documents, taking the temporal dimension into account is gaining increased interest. A particular problem...
Nattiya Kanhabua, Kjetil Nørvåg
UM
2009
Springer
16 years 1 months ago
A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System
Abstract. User behaviors on a system vary not only among individuals but also within the same user when he/she gains experience on the system. We empirically investigated how indiv...
Kazunori Komatani, Tatsuya Kawahara, Hiroshi G. Ok...
PRIS
2003
15 years 8 months ago
A Comparison of Line Detectors for Image Background Modelling
Abstract. In the context of multimedia data analysis, it is often necessary to understand what happens in a scene, which can rely on detecting and tracking the different moving obj...
Sébastien Lefèvre, Cédric Jeu...
ISAMI
2010
15 years 1 months ago
Ontology and SWRL-Based Learning Model for Home Automation Controlling
Abstract. In the present paper we describe IntelliDomo's learning model, an ontology-based expert system able to control a home automation system and to learn user's beha...
Pablo A. Valiente-Rocha, Adolfo Lozano Tello