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» Modeling Preferences in a Distributed Recommender System
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CCS
2008
ACM
13 years 10 months ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...
ATAL
2004
Springer
14 years 1 months ago
Fitting and Compilation of Multiagent Models through Piecewise Linear Functions
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
David V. Pynadath, Stacy Marsella
KBSE
2003
IEEE
14 years 1 months ago
A Programmable Client-Server Model: Robust Extensibility via DSLs
The client-server model has been successfully used to support a wide variety of families of services in the context of distributed systems. However, its server-centric nature make...
Charles Consel, Laurent Réveillère
ATAL
2010
Springer
13 years 9 months ago
History-dependent graphical multiagent models
A dynamic model of a multiagent system defines a probability distribution over possible system behaviors over time. Alternative representations for such models present tradeoffs i...
Quang Duong, Michael P. Wellman, Satinder P. Singh...
PPOPP
2003
ACM
14 years 1 months ago
User-controllable coherence for high performance shared memory multiprocessors
In programming high performance applications, shared address-space platforms are preferable for fine-grained computation, while distributed address-space platforms are more suita...
Collin McCurdy, Charles N. Fischer