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» Nested Ordered Sets and their Use for Data Modelling
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ATAL
2007
Springer
15 years 4 months ago
Interactive dynamic influence diagrams
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
Kyle Polich, Piotr J. Gmytrasiewicz
115
Voted
ISCA
2006
IEEE
144views Hardware» more  ISCA 2006»
15 years 13 days ago
Conditional Memory Ordering
Conventional relaxed memory ordering techniques follow a proactive model: at a synchronization point, a processor makes its own updates to memory available to other processors by ...
Christoph von Praun, Harold W. Cain, Jong-Deok Cho...
133
Voted
CG
2008
Springer
15 years 17 days ago
Masked photo blending: Mapping dense photographic data set on high-resolution sampled 3D models
The technological advance of sensors is producing an exponential size growth of the data coming from 3D scanning and digital photography. The production of digital 3D models consi...
Marco Callieri, Paolo Cignoni, Massimiliano Corsin...
PRICAI
2000
Springer
15 years 4 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
KDD
1995
ACM
128views Data Mining» more  KDD 1995»
15 years 4 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj