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GMP
2000
IEEE
173views Solid Modeling» more  GMP 2000»
14 years 2 months ago
A Representation Independent Geometric Modeling Kernel
This paper is concerned with “open kernel” geometric modelling systems. It uses industrial needs to identify requirements for the geometric objects of a proposed interface. Th...
Alan E. Middleditch, Chris Reade, Abel J. P. Gomes
WSC
2008
14 years 12 days ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang
ICONIP
2004
13 years 11 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
IWPEC
2010
Springer
13 years 8 months ago
Partial Kernelization for Rank Aggregation: Theory and Experiments
RANK AGGREGATION is important in many areas ranging from web search over databases to bioinformatics. The underlying decision problem KEMENY SCORE is NP-complete even in case of fo...
Nadja Betzler, Robert Bredereck, Rolf Niedermeier
BMCBI
2008
93views more  BMCBI 2008»
13 years 10 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt