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BMCBI
2007
194views more  BMCBI 2007»
15 years 26 days ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
BMCBI
2006
110views more  BMCBI 2006»
15 years 24 days ago
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae
Background: Reverse-engineering regulatory networks is one of the central challenges for computational biology. Many techniques have been developed to accomplish this by utilizing...
Shawn Cokus, Sherri Rose, David Haynor, Niels Gr&o...
88
Voted
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 22 days ago
Graph Annotations in Modeling Complex Network Topologies
abstract such additional information as network annotations. We introduce a network topology modeling framework that treats annotations as an extended correlation profile of a net...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, A...
114
Voted
SIGIR
2008
ACM
15 years 20 days ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
INTR
2007
81views more  INTR 2007»
15 years 19 days ago
Network externality and future usage of Internet services
Purpose – The purpose of this paper is to investigate different effects of three network externality factors, i.e. local network size, network strength, and total network size, ...
Sung Yong Chun, Minhi Hahn