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ECAI
2000
Springer
15 years 4 months ago
Encoding Information Fusion in Possibilistic Logic: A General Framework for Rational Syntactic Merging
The problem of merging multiple sources information is central in many information processing areas such as databases integration problems, multiple criteria decision making, exper...
Salem Benferhat, Didier Dubois, Souhila Kaci, Henr...
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 19 days ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
138
Voted
ICCV
2009
IEEE
16 years 5 months ago
A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data
In this paper, we present a novel algorithm for partial intrinsic symmetry detection in 3D geometry. Unlike previous work, our algorithm is based on a conceptually simple and st...
Ruxandra Lasowski, Art Tevs, Hans-Peter Seidel, Mi...
91
Voted
ACSC
2006
IEEE
15 years 6 months ago
CASO: a framework for dealing with objectives in a constraint-based extension to AgentSpeak(L)
Incorporating constraints into a reactive BDI agent programming language can lead to better expressive capabilities as well as more efficient computation (in some instances). More...
Aniruddha Dasgupta, Aditya K. Ghose
KR
2010
Springer
15 years 5 months ago
I Don't Want to Think About it Now: Decision Theory with Costly Computation
Computation plays a major role in decision making. Even if an agent is willing to ascribe a probability to all states and a utility to all outcomes, and maximize expected utility,...
Joseph Y. Halpern