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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
UAI
2000
15 years 7 months ago
Dynamic Bayesian Multinets
In this work, dynamic Bayesian multinets are introduced where a Markov chain state at time
Jeff Bilmes
AAAI
2010
15 years 7 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
FLAIRS
2000
15 years 7 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
NIPS
2000
15 years 7 months ago
On Reversing Jensen's Inequality
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
Tony Jebara, Alex Pentland