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ITRE
2005
IEEE
14 years 2 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
KBSE
2007
IEEE
14 years 3 months ago
Modeling bug report quality
Software developers spend a significant portion of their resources handling user-submitted bug reports. For software that is widely deployed, the number of bug reports typically ...
Pieter Hooimeijer, Westley Weimer
BMCBI
2006
116views more  BMCBI 2006»
13 years 9 months ago
A model-based approach to selection of tag SNPs
Background: Single Nucleotide Polymorphisms (SNPs) are the most common type of polymorphisms found in the human genome. Effective genetic association studies require the identific...
Pierre Nicolas, Fengzhu Sun, Lei M. Li
ASPLOS
2006
ACM
14 years 18 days ago
Efficiently exploring architectural design spaces via predictive modeling
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design parameters. Efficiently exploring exponential-size desig...
Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R...
VTC
2007
IEEE
138views Communications» more  VTC 2007»
14 years 3 months ago
Applicability of UWB Double Directional Propagation Modeling for Evaluating UWB Transmission Performance
Abstract— This paper investigates the applicability of deterministic ultra wideband (UWB) propagation modeling for evaluating UWB system performances. The modeling explores the w...
Katsuyuki Haneda, Jun-ichi Takada, Takehiko Kobaya...