Sciweavers

AAAI
2006
13 years 6 months ago
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change
We present a model for buying agents in e-marketplaces to interpret evaluations of sellers provided by other buying agents, known as advisors. The interpretation of seller evaluat...
Kevin Regan, Pascal Poupart, Robin Cohen
AAAI
2006
13 years 6 months ago
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance
In this paper, we describe an evolutionary approach to one of the most challenging problems in computer music: modeling the knowledge applied by a musician when performing a score...
Rafael Ramirez, Amaury Hazan, Jordi Marine, Esteba...
AAAI
2006
13 years 6 months ago
A Quadratic Propagator for the Inter-Distance Constraint
We present a new propagator achieving bound consistency for the INTER-DISTANCE constraint. This constraint ensures that, among a set of variables X1, . . . , Xn, the difference be...
Claude-Guy Quimper, Alejandro López-Ortiz, ...
AAAI
2006
13 years 6 months ago
Wavelet Statistics for Human Motion Classification
Human motion is as much characterized by its low frequency shape as by its high frequency temporal discontinuities
Kevin Quennesson, Elias Ioup, Charles L. Isbell
AAAI
2006
13 years 6 months ago
Merging Stratified Knowledge Bases under Constraints
In this paper, we propose a family of operators for merging stratified knowledge bases under integrity constraints. The operators are defined in a model-theoretic way. Our merging...
Guilin Qi, Weiru Liu, David A. Bell
AAAI
2006
13 years 6 months ago
An Efficient Way of Breaking Value Symmetries
Several methods for breaking value symmetries have been proposed recently in the constraint programming community. They can be used in conjunction with variable symmetry breaking ...
Jean-François Puget
AAAI
2006
13 years 6 months ago
Visual Explanation of Evidence with Additive Classifiers
Brett Poulin, Roman Eisner, Duane Szafron, Paul Lu...
AAAI
2006
13 years 6 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos