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» Modeling Context-Aware Distributed Knowledge
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ICML
2005
IEEE
16 years 20 days ago
Dirichlet enhanced relational learning
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Pe...
ICMAS
1998
15 years 1 months ago
How to Explore your Opponent's Strategy (almost) Optimally
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
David Carmel, Shaul Markovitch
AMAI
2006
Springer
14 years 12 months ago
Possibilistic uncertainty handling for answer set programming
In this work, we introduce a new framework able to deal with a reasoning that is at the same time non monotonic and uncertain. In order to take into account a certainty level assoc...
Pascal Nicolas, Laurent Garcia, Igor Stépha...
CP
2007
Springer
15 years 6 months ago
Hierarchical Hardness Models for SAT
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
MOBIHOC
2008
ACM
15 years 11 months ago
An O(log n) dominating set protocol for wireless ad-hoc networks under the physical interference model
Dealing with interference is one of the primary challenges to solve in the design of protocols for wireless ad-hoc networks. Most of the work in the literature assumes localized o...
Christian Scheideler, Andréa W. Richa, Paol...