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» Consensus-based distributed linear support vector machines
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FDL
2005
IEEE
14 years 1 months ago
Linearly graded behavioural analogue performance models
A concept of linearly graded statistical models for analogue performance evaluation is proposed and a suitable technique for automatic generation of analogue performance models us...
Xianqiang Ren, Tom J. Kazmierski
IJCNN
2007
IEEE
14 years 1 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
ICASSP
2011
IEEE
12 years 11 months ago
Factored covariance modeling for text-independent speaker verification
Gaussian mixture models (GMMs) are commonly used to model the spectral distribution of speech signals for text-independent speaker verification. Mean vectors of the GMM, used in c...
Eryu Wang, Kong-Aik Lee, Bin Ma, Haizhou Li, Wu Gu...
IJBI
2010
62views more  IJBI 2010»
13 years 2 months ago
Size Functions for the Morphological Analysis of Melanocytic Lesions
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry, ...
Massimo Ferri, Ignazio Stanganelli
JMLR
2008
84views more  JMLR 2008»
13 years 7 months ago
LIBLINEAR: A Library for Large Linear Classification
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-line ...
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-R...