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BMCBI
2007
194views more  BMCBI 2007»
15 years 6 months 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
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 6 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
CEC
2008
IEEE
16 years 28 days ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
VLDB
2007
ACM
129views Database» more  VLDB 2007»
16 years 17 days ago
Processing Forecasting Queries
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...
Songyun Duan, Shivnath Babu
ICDCS
2006
IEEE
16 years 15 days ago
Reputation-Based Scheduling on Unreliable Distributed Infrastructures
This paper presents a design and analysis of scheduling techniques to cope with the inherent unreliability and instability of worker nodes in large-scale donation-based distribute...
Jason D. Sonnek, Mukesh Nathan, Abhishek Chandra, ...