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ISNN
2005
Springer
14 years 3 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»
13 years 8 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
14 years 4 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
14 years 4 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
14 years 3 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