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ICAI
2004
15 years 2 months ago
Plan Understanding: Inferring Implicit Dependencies from Explicit Elements in Multi-Agent Plan Representations
Current planning systems often fail to represent the reasons why certain planning decisions are made. Explicit representation of this Plan Rationale is crucial for automated plan m...
James P. Allen, Phil DiBona
UAI
1998
15 years 2 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
ICML
2009
IEEE
16 years 1 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
ACSC
2009
IEEE
15 years 7 months ago
Inference of Gene Expression Networks Using Memetic Gene Expression Programming
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
Armita Zarnegar, Peter Vamplew, Andrew Stranieri
AVBPA
2005
Springer
225views Biometrics» more  AVBPA 2005»
15 years 2 months ago
Video-Based Face Recognition Using Bayesian Inference Model
There has been a flurry of works on video sequence-based face recognition in recent years. One of the hard problems in this area is how to effectively combine the facial configu...
Wei Fan, Yunhong Wang, Tieniu Tan