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IFIP12
2004
13 years 6 months ago
Learning Bayesian Metanetworks from Data with Multilevel Uncertainty
: Managing knowledge by maintaining it according to dynamic context is among the basic abilities of a knowledge-based system. The two main
Vagan Y. Terziyan, Oleksandra Vitko
EUSFLAT
2003
152views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
Bayesian networks for continuous values and uncertainty in the learning process
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
J. F. Baldwin, E. Di Tomaso
ICANN
2009
Springer
13 years 8 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 5 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
CVPR
2012
IEEE
11 years 7 months ago
From pixels to physics: Probabilistic color de-rendering
Consumer digital cameras use tone-mapping to produce compact, narrow-gamut images that are nonetheless visually pleasing. In doing so, they discard or distort substantial radiomet...
Ying Xiong, Kate Saenko, Trevor Darrell, Todd Zick...