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» Bayesian network modelling through qualitative patterns
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JMLR
2010
140views more  JMLR 2010»
14 years 7 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
91
Voted
CISIS
2010
IEEE
15 years 7 months ago
Logic-Based Steady-State Analysis and Revision of Metabolic Networks with Inhibition
—This paper presents a qualitative logic-based method for the steady-state analysis and revision of metabolic networks with inhibition. The approach is able to automatically revi...
Oliver Ray, Ken E. Whelan, Ross D. King
100
Voted
IDEAL
2004
Springer
15 years 5 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 17 days ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
15 years 6 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...