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» Experimental Design for Variable Selection in Data Bases
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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 20 days ago
Discovering event evidence amid massive, dynamic datasets
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
Robert M. Patton, Thomas E. Potok
BMCBI
2008
148views more  BMCBI 2008»
15 years 6 months ago
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
Summary: BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in ...
Claudia Angelini, Luisa Cutillo, Daniela De Candit...
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
SIGSOFT
1995
ACM
15 years 10 months ago
An Experiment to Assess the Cost-Benefits of Code Inspections in Large Scale Software Development
—We conducted a long-term experiment to compare the costs and benefits of several different software inspection methods. These methods were applied by professional developers to ...
Adam A. Porter, Harvey P. Siy, Carol A. Toman, Law...
SENSYS
2004
ACM
15 years 12 months ago
An analysis of a large scale habitat monitoring application
Habitat and environmental monitoring is a driving application for wireless sensor networks. We present an analysis of data from a second generation sensor networks deployed during...
Robert Szewczyk, Alan M. Mainwaring, Joseph Polast...