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FLAIRS
2004
15 years 1 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
15 years 1 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
15 years 1 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
15 years 1 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
ICWS
2004
IEEE
15 years 1 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