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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 1 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
FGCS
2006
59views more  FGCS 2006»
13 years 8 months ago
The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory
The research outlined in this paper marks an initial global cooperative effort between visualization and collaboration researchers to build a persistent virtual visualization faci...
Jason Leigh, Luc Renambot, Andrew E. Johnson, Byun...
LCTRTS
1999
Springer
14 years 22 days ago
Optimizing for Reduced Code Space using Genetic Algorithms
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are designed to reduce the execution time of compiled cod...
Keith D. Cooper, Philip J. Schielke, Devika Subram...
BMCBI
2010
124views more  BMCBI 2010»
13 years 8 months ago
A Dynamic Noise Level Algorithm for Spectral Screening of Peptide MS/MS Spectra
Background: High-throughput shotgun proteomics data contain a significant number of spectra from non-peptide ions or spectra of too poor quality to obtain highly confident peptide...
Hua Xu, Michael A. Freitas
ENDM
2010
167views more  ENDM 2010»
13 years 5 months ago
Column Generation based Primal Heuristics
In the past decade, significant progress has been achieved in developing generic primal heuristics that made their way into commercial mixed integer programming (MIP) solver. Exte...
C. Joncour, S. Michel, R. Sadykov, D. Sverdlov, Fr...