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UAI
2003
13 years 10 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
AAAI
1996
13 years 10 months ago
Learning Models of Intelligent Agents
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
David Carmel, Shaul Markovitch
ICML
2010
IEEE
13 years 9 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
COGSCI
2008
84views more  COGSCI 2008»
13 years 8 months ago
A Probabilistic Model of Melody Perception
This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. (A "melody" is def...
David Temperley
MICCAI
2010
Springer
13 years 7 months ago
A Geometry-Based Particle Filtering Approach to White Matter Tractography
Abstract. We introduce a fibre tractography framework based on a particle filter which estimates a local geometrical model of the underlying white matter tract, formulated as a ...
Peter Savadjiev, Yogesh Rathi, James G. Malcolm, M...