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» On Kernel Methods for Relational Learning
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BMCBI
2008
166views more  BMCBI 2008»
15 years 3 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
131
Voted
CVPR
2008
IEEE
16 years 5 months ago
Semi-Supervised Discriminant Analysis using robust path-based similarity
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
Yu Zhang, Dit-Yan Yeung
131
Voted
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 3 months ago
How accurate are the time delay estimates in gravitational lensing?
We present a novel approach to estimate the time delay between light curves of multiple images in a gravitationally lensed system, based on Kernel methods in the context of machine...
Juan C. Cuevas-Tello, Peter Tino, Somak Raychaudhu...
161
Voted
BMCBI
2008
214views more  BMCBI 2008»
15 years 2 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
101
Voted
COLING
2008
15 years 5 months ago
ILP-based Conceptual Analysis for Chinese NPs
In this paper, we explore a conceptual resource for Chinese nominal phrases, which allows multi-dependency and distinction between dependency and the corresponding exact relation....
Paul D. Ji, Stephen G. Pulman