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ICPR
2008
IEEE
14 years 9 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
ICPR
2008
IEEE
14 years 9 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
WOB
2003
129views Bioinformatics» more  WOB 2003»
13 years 10 months ago
Procsimo: uma Ferramenta de Procura de Similaridade entre Operons
In this work, we propose a software tool, called PROCSIMO, which aims the identification of similarities between operons in bacterial genomes. From a database which contains the ch...
Carlos Azevedo, Alexandre Plastino, Ana Tereza R. ...
ISBI
2008
IEEE
14 years 9 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...
SDM
2008
SIAM
121views Data Mining» more  SDM 2008»
13 years 10 months ago
Integration of Multiple Networks for Robust Label Propagation
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama