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ICPR
2008
IEEE
16 years 28 days 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
16 years 28 days 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»
15 years 1 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
16 years 14 days 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»
15 years 1 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