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UAI
2003
15 years 3 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
15 years 3 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
127
Voted
ICML
2010
IEEE
15 years 3 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»
15 years 2 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
15 years 24 days 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...