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» A Data Analysis Method for Software Performance Prediction
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NIPS
2004
15 years 6 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
BMCBI
2007
139views more  BMCBI 2007»
15 years 4 months ago
Significance analysis of microarray transcript levels in time series experiments
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
Barbara Di Camillo, Gianna Toffolo, Sreekumaran K....
ICML
2006
IEEE
16 years 5 months ago
Algorithms for portfolio management based on the Newton method
We experimentally study on-line investment algorithms first proposed by Agarwal and Hazan and extended by Hazan et al. which achieve almost the same wealth as the best constant-re...
Amit Agarwal, Elad Hazan, Satyen Kale, Robert E. S...
CVPR
2012
IEEE
13 years 7 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
KBSE
1998
IEEE
15 years 9 months ago
Automated Integrative Analysis of State-based Requirements
Statically analyzing requirements specifications to assure that they possess desirable properties is an important activity in any rigorous software development project. The analys...
Barbara J. Czerny, Mats Per Erik Heimdahl