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FLAIRS
2004
14 years 11 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
ECIR
2006
Springer
14 years 11 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
FORTE
2004
14 years 11 months ago
A Minimal Market Model in Ephemeral Markets
Abstract Peer-to-peer markets going mobile spur spontaneity in trading considerably. Spontaneity, however, imposes severe informational requirements on the market participants. Inf...
Daniel Rolli, Dirk Neumann, Christof Weinhardt
CATA
2003
14 years 11 months ago
Stratified Programming: Towards a New Paradigm for Software Development
This paper introduces stratified programming, a novel approach for program construction. In essence, stratified programming allows the developer to build and software at various l...
Adrian Pasculescu, Sergiu Dascalu
90
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ICWS
2004
IEEE
14 years 11 months ago
Realizability of Conversation Protocols With Message Contents
A conversation protocol is a top-down specification framework which specifies desired global behaviors of a web service composition. In our earlier work [6] we studied the problem...
Xiang Fu, Tevfik Bultan, Jianwen Su