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» Modeling Preferences in a Distributed Recommender System
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137
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CCS
2008
ACM
15 years 4 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 ...
109
Voted
ATAL
2004
Springer
15 years 8 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
125
Voted
KBSE
2003
IEEE
15 years 8 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
123
Voted
ATAL
2010
Springer
15 years 3 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...
119
Voted
PPOPP
2003
ACM
15 years 7 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