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NIPS
1994
15 years 5 months ago
Learning Stochastic Perceptrons Under k-Blocking Distributions
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
Mario Marchand, Saeed Hadjifaradji
AIPS
2009
15 years 5 months ago
Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
Distributed POMDPs provide an expressive framework for modeling multiagent collaboration problems, but NEXPComplete complexity hinders their scalability and application in real-wo...
Pradeep Varakantham, Jun-young Kwak, Matthew E. Ta...
IAT
2006
IEEE
15 years 10 months ago
A Multi-stage Graph Decomposition Algorithm for Distributed Constraint Optimisation
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
Terence H.-W. Law, Adrian R. Pearce
CP
2004
Springer
15 years 9 months ago
Preprocessing Techniques for Distributed Constraint Optimization
Abstract. Although algorithms for Distributed Constraint Optimization Problems (DCOPs) have emerged as a key technique for distributed reasoning, their application faces significa...
Syed Muhammad Ali, Sven Koenig, Milind Tambe
WISA
2004
Springer
15 years 9 months ago
Inconsistency Detection of Authorization Policies in Distributed Component Environment
In distributed component environment, a Role-Based Access Control (RBAC) server manages all authorization policies of components in the same domains whereas the components are dist...
Chang-Joo Moon, Hoh Peter In