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KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 1 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
103
Voted
TAMC
2007
Springer
15 years 6 months ago
Kernelizations for Parameterized Counting Problems
Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
Marc Thurley
IPPS
2009
IEEE
15 years 7 months ago
A fusion-based approach for tolerating faults in finite state machines
Given a set of n different deterministic finite state machines (DFSMs) modeling a distributed system, we examine the problem of tolerating f crash or Byzantine faults in such a ...
Vinit A. Ogale, Bharath Balasubramanian, Vijay K. ...
117
Voted
ICPR
2002
IEEE
16 years 1 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
96
Voted
RANDOM
1999
Springer
15 years 5 months ago
Scheduling with Unexpected Machine Breakdowns
We investigate an online version of a basic scheduling problem where a set of jobs has to be scheduled on a number of identical machines so as to minimize the makespan. The job pr...
Susanne Albers, Günter Schmidt