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ICANN
2001
Springer
13 years 12 months ago
Fast Training of Support Vector Machines by Extracting Boundary Data
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Shigeo Abe, Takuya Inoue
SRDS
2007
IEEE
14 years 1 months ago
Characterizing Aging Phenomena of the Java Virtual Machine
In this work we investigate software aging phenomena inside the Java Virtual Machine (JVM). Starting from an experimental campaign on real world testbeds, this work isolates the c...
Domenico Cotroneo, Salvatore Orlando 0002, Stefano...
AAAI
2006
13 years 8 months ago
Towards Chemical Universal Turing Machines
Present developments in the natural sciences are providing enormous and challenging opportunities for various AI technologies to have an unprecedented impact in the broader scient...
Stephen Muggleton
NN
2000
Springer
161views Neural Networks» more  NN 2000»
13 years 7 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
ICPR
2006
IEEE
14 years 8 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang