Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing
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20

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Published By Springer Berlin Heidelberg

9783540243885, 9783540323846

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_5 ◽

2005 ◽

pp. 113-131 ◽

Author(s):

K. Huang ◽

H. Yang ◽

I. King ◽

M.R. Lyu

Keyword(s):

Local Learning ◽

Global Learning

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Cancer Diagnosis and Protein Secondary Structure Prediction Using Support Vector Machines

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_16 ◽

2005 ◽

pp. 343-363 ◽

Author(s):

F. Chu ◽

G. Jin ◽

L. Wang

Keyword(s):

Support Vector Machines ◽

Secondary Structure ◽

Cancer Diagnosis ◽

Structure Prediction ◽

Secondary Structure Prediction ◽

Protein Secondary Structure ◽

Support Vector ◽

Protein Secondary Structure Prediction ◽

Vector Machines

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Tachycardia Discrimination in Implantable Cardioverter Defibrillators Using Support Vector Machines and Bootstrap Resampling

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_20 ◽

2005 ◽

pp. 413-431

Author(s):

J.L. Rojo-Álvarez ◽

A. García-Alberola ◽

A. Artés-Rodríguez ◽

Á Arenal-Maíz

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Bootstrap Resampling ◽

Implantable Cardioverter Defibrillators ◽

Vector Machines ◽

Cardioverter Defibrillators

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Gas Sensing Using Support Vector Machines

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_17 ◽

2005 ◽

pp. 365-386

Author(s):

J. Brezmes ◽

E. Llobet ◽

S. Al-Khalifa ◽

S. Maldonado ◽

J.W. Gardner

Keyword(s):

Support Vector Machines ◽

Gas Sensing ◽

Support Vector ◽

Vector Machines

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Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_8 ◽

2005 ◽

pp. 181-203 ◽

Author(s):

J. Peng ◽

D.R. Heisterkamp ◽

H.K. Dai

Keyword(s):

Nearest Neighbor ◽

Nearest Neighbor Classification ◽

Neighbor Classification

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Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_12 ◽

2005 ◽

pp. 255-274 ◽

Author(s):

V. Kecman ◽

T.-M. Huang ◽

M. Vogt

Keyword(s):

Data Sets ◽

Kernel Machines ◽

Huge Data ◽

Single Data ◽

And Performance ◽

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Componentwise Least Squares Support Vector Machines

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_3 ◽

2005 ◽

pp. 77-98 ◽

Author(s):

K. Pelckmans ◽

I. Goethals ◽

J.D. Brabanter ◽

J.A.K. Suykens ◽

B.D. Moor

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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Application of Support Vector Machine to the Detection of Delayed Gastric Emptying from Electrogastrograms

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_19 ◽

2005 ◽

pp. 399-412

Author(s):

H. Liang

Keyword(s):

Support Vector Machine ◽

Gastric Emptying ◽

Delayed Gastric Emptying ◽

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Active Support Vector Learning with Statistical Queries

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_4 ◽

2005 ◽

pp. 99-111 ◽

Author(s):

P. Mitra ◽

C.A. Murthy ◽

S.K. Pal

Keyword(s):

Support Vector ◽

Statistical Queries

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Theoretical and Practical Model Selection Methods for Support Vector Classifiers

Support Vector Machines: Theory and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/10984697_7 ◽

2005 ◽

pp. 159-179 ◽

Author(s):

D. Anguita ◽

A. Boni ◽

S. Ridella ◽

F. Rivieccio ◽

D. Sterpi

Keyword(s):

Model Selection ◽

Support Vector ◽

Selection Methods ◽

Practical Model

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