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CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 6 months ago
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
BMCBI
2010
131views more  BMCBI 2010»
15 years 6 months ago
A comparison of approximation techniques for variance-based sensitivity analysis of biochemical reaction systems
Background: Sensitivity analysis is an indispensable tool for the analysis of complex systems. In a recent paper, we have introduced a thermodynamically consistent variance-based ...
Hong-Xuan Zhang, John Goutsias
UAI
1997
15 years 7 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
ICCS
2001
Springer
15 years 10 months ago
Inclusion-Based Approximate Reasoning
Nowadays, people start to accept fuzzy rule–based systems as flexible and convenient tools to solve a myriad of ill–defined but otherwise (for humans) straightforward tasks s...
Chris Cornelis, Etienne E. Kerre
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
15 years 1 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor