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ICML
2004
IEEE
16 years 5 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
CSDA
2006
84views more  CSDA 2006»
15 years 5 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
SC
2009
ACM
15 years 12 months ago
Supporting fault-tolerance for time-critical events in distributed environments
In this paper, we consider the problem of supporting fault tolerance for adaptive and time-critical applications in heterogeneous and unreliable grid computing environments. Our g...
Qian Zhu, Gagan Agrawal
IPL
2008
80views more  IPL 2008»
15 years 5 months ago
A simpler competitive analysis for scheduling equal-length jobs on one machine with restarts
We consider the online problem of scheduling jobs with equal processing times on a single machine. Each job has a release time and a deadline, and the goal is to maximize the numb...
Michael H. Goldwasser, Arundhati Bagchi Misra
SIAMJO
2010
130views more  SIAMJO 2010»
14 years 12 months ago
A Randomized Cutting Plane Method with Probabilistic Geometric Convergence
Abstract. We propose a randomized method for general convex optimization problems; namely, the minimization of a linear function over a convex body. The idea is to generate N rando...
Fabrizio Dabbene, P. S. Shcherbakov, Boris T. Poly...