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KSEM
2009
Springer
15 years 11 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
122
Voted
ICC
2007
IEEE
130views Communications» more  ICC 2007»
15 years 11 months ago
A Distributed Scheme for Responsive Network Engineering
— Optimal bandwidth utilisation together with resilience and recovery from failure are two key drivers for Traffic Engineering (TE) which have been widely addressed by the IP co...
Johannes Göbel, Anthony E. Krzesinski, Dieter...
169
Voted
SAC
2006
ACM
15 years 10 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
ESA
2005
Springer
108views Algorithms» more  ESA 2005»
15 years 10 months ago
Bootstrapping a Hop-Optimal Network in the Weak Sensor Model
Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a radio network. Sensor network bootstrapping research t...
Martin Farach-Colton, Rohan J. Fernandes, Miguel A...
WAW
2004
Springer
150views Algorithms» more  WAW 2004»
15 years 10 months ago
Do Your Worst to Make the Best: Paradoxical Effects in PageRank Incremental Computations
d Abstract) Paolo Boldi† Massimo Santini‡ Sebastiano Vigna∗ Deciding which kind of visit accumulates high-quality pages more quickly is one of the most often debated issue i...
Paolo Boldi, Massimo Santini, Sebastiano Vigna
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