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CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 4 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 4 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
154
Voted
UAI
1997
15 years 5 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 8 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»
14 years 11 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