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ISNN
2005
Springer
15 years 11 months ago
Scaling the Kernel Function to Improve Performance of the Support Vector Machine
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
Peter Williams, Sheng Li, Jianfeng Feng, Si Wu
RP
2010
Springer
126views Control Systems» more  RP 2010»
15 years 3 months ago
Lossy Counter Machines Decidability Cheat Sheet
Abstract. Lossy counter machines (LCM’s) are a variant of Minsky counter machines based on weak (or unreliable) counters in the sense that they can decrease nondeterministically ...
Philippe Schnoebelen
AIME
2007
Springer
15 years 11 months ago
Machine Learning Techniques for Decision Support in Anesthesia
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...
Olivier Caelen, Gianluca Bontempi, Luc Barvais
ICIC
2007
Springer
15 years 11 months ago
Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
Julio César Tovar, Wen Yu, Xiaoou Li
ICANN
2005
Springer
15 years 11 months ago
Smooth Bayesian Kernel Machines
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
Rutger W. ter Borg, Léon J. M. Rothkrantz