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AOR
2010
13 years 10 months ago
Solutions diversification in a column generation algorithm
Column generation algorithms have been specially designed for solving mathematical programs with a huge number of variables. Unfortunately, this method suffers from slow convergen...
Nora Touati Moungla, Lucas Létocart, Anass ...
CCE
2004
14 years 9 days ago
Time (energy) requirements in closed batch distillation arrangements
Batch time (energy) requirements are provided for the separation of a zeotropic mixture in three batch column configurations. The separation tasks were performed in two different ...
S. Skouras, Sigurd Skogestad
CCE
2005
14 years 10 days ago
Compartmental modeling of high purity air separation columns
High purity distillation columns are critical unit operations in cryogenic air separation plants. The development of nonlinear control technology is motivated by the need to frequ...
Shoujun Bian, Suabtragool Khowinij, Michael A. Hen...
TKDD
2008
113views more  TKDD 2008»
14 years 10 days ago
Privacy-preserving classification of vertically partitioned data via random kernels
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
Olvi L. Mangasarian, Edward W. Wild, Glenn Fung
NETWORKS
2006
14 years 11 days ago
A simple algorithm that proves half-integrality of bidirected network programming
In a bidirected graph, each end of each edge is independently oriented. We show how to express any column of the incidence matrix as a half-integral linear combination of any colum...
Ethan D. Bolker, Thomas Zaslavsky
CCR
2007
90views more  CCR 2007»
14 years 13 days ago
You must be joking... warns you: don't drink and type
I would like to apologise to both of my fans (which I will call Tom and Jerry respecting their request for anonymity for obvious reasons) for missing my column in the last issue. ...
Michalis Faloutsos
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 6 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee