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SIAMCOMP
2000
88views more  SIAMCOMP 2000»
15 years 2 months ago
On a Conjecture by Coffman, Flatto, and Wright on Stochastic Machine Minimization
We investigate a conjecture stated by Coffman, Flatto, and Wright within the context of a stochastic machine minimization problem with a hard deadline. We prove that the conjecture...
Nah-Oak Song, Demosthenis Teneketzis
IJSTM
2008
77views more  IJSTM 2008»
15 years 2 months ago
The internal differentiation of the KIBS sector: empirical evidence from cluster analysis
: The sector of Knowledge-Intensive Business Services (KIBS) is characterised by high rates of firm fluctuation, rapid changes in technological progress (e.g., in the software indu...
Daniel Horgos, Andreas Koch
ISMB
2008
15 years 4 months ago
Classification of arrayCGH data using fused SVM
Motivation: Array-based comparative genomic hybridization (arrayCGH) has recently become a popular tool to identify DNA copy number variations along the genome. These profiles are...
Franck Rapaport, Emmanuel Barillot, Jean-Philippe ...
ICMLA
2008
15 years 3 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 2 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...