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» Supervised Link Prediction Using Multiple Sources
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ICDCS
2010
IEEE
13 years 11 months ago
CacheCast: Eliminating Redundant Link Traffic for Single Source Multiple Destination Transfers
Due to the lack of multicast services in the Internet, applications based on single source multiple destinations transfers such as video conferencing, IP radio, IPTV must use unica...
Piotr Srebrny, Thomas Plagemann, Vera Goebel, Andr...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
AUSAI
2008
Springer
13 years 11 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Biological Pathway Prediction from Multiple Data Sources Using Iterative Bayesian Updating
There is a diversity of functional genomics data, such as gene expression data from microarray experiments, phenotypic data from gene deletion experiments, protein-protein interac...
Corey Powell, Joshua M. Stuart
ASUNAM
2011
IEEE
12 years 9 months ago
Multi-relational Link Prediction in Heterogeneous Information Networks
Abstract—Many important real-world systems, modeled naturally as complex networks, have heterogeneous interactions and complicated dependency structures. Link prediction in such ...
Darcy A. Davis, Ryan Lichtenwalter, Nitesh V. Chaw...