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BMCBI
2007
215views more  BMCBI 2007»
15 years 6 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
SCFBM
2008
101views more  SCFBM 2008»
15 years 6 months ago
The MERG Suite: Tools for discovering competencies and associated learning resources
Background: As the demands for competency-based education grow, the need for standardsbased tools to allow for publishing and discovery of competency-based learning content is mor...
Ravi Teja Bhupatiraju, William R. Hersh, Valerie S...
ICSM
2005
IEEE
16 years 4 days ago
Design Pattern Mining Enhanced by Machine Learning
Design patterns present good solutions to frequently occurring problems in object-oriented software design. Thus their correct application in a system’s design may significantl...
Rudolf Ferenc, Árpád Beszédes...
IJPP
2011
115views more  IJPP 2011»
14 years 10 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 7 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...