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Learning Methods
Support Vector Machine
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an introduction to support vector machines and other kernel-based learning methods
an introduction to support vector machines and other kernel-based learning methods,N. Cristianini,J. Shawe-taylor
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an introduction to support vector machines and other kernel-based learning methods
(
Citations: 3124
)
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N. Cristianini
,
J. Shawe-taylor
Published in 2000.
Cumulative
Annual
Citation Context
(1842)
...Support vector machine (SVM) [3], [44] is a widely used machine learning technique and has been applied successfully to many real-world applications [
8
]...
...Once the kernel function KMIðXi ;X jÞ is defined, the optimization problem (1) can be solved by many methods [
8
] implemented in many software packages, e.g., [5], [26]...
Ying-Xin Li
,
et al.
Drosophila Gene Expression Pattern Annotation through Multi-Instance M...
...There are now numerous machine learning classification methods, and the literature suggests that different methods are suited to different kinds of data (
Cristianini & Shawe-Taylor; 2000
;
Müller et al, 2008
;
Park & Park, 2008
;
Bandt, Weymar, Samaga, & Hamm, 2009
;
Blankertz, Lemm, Treder, Haufe, & Müller, 2010
;
Das, Giesbrecht, & Eckstein, 2010
;
Doyle, Temko, Lightbody, Marnane, & Boylan, 2010
;
Doyle et al, submitted
)...
Daniel Stahl
,
et al.
Novel Machine Learning Methods for ERP Analysis: A Validation From Res...
...Support Vector Machines (SVM) (Vapnik,
1995
; Cristianini and Taylor,
2000
; Hastie et al,
2009
) and Distance Weight Discrimination (DWD) (Marron et al,
2007
) are two commonly used large margin based classification methods...
Hanwen Huang
,
et al.
Multiclass Distance Weighted Discrimination
...Taylor and Cristianini [
23
] and Abe [24] reviewed the SVM theory...
...In addition, there are some techniques that decrease the number of operations that need to be realized by the SVM [
23
], [24]...
Ernesto Vazquez-Sanchez
,
et al.
A New Method for Sensorless Estimation of the Speed and Position in Br...
...Thus, SVM is considered to be one of the best pixelwise classification approaches, by which input data are treated as unordered measurements without particular spatial arrangements (Cristianini and Shawe-Taylor
2000
)...
Yang Cao
,
et al.
An effective approach for land-cover classification from airborne lida...
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Citations
(3124)
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning
(
Citations: 7
)
Ying-Xin Li
,
Shuiwang Ji
,
Sudhir Kumar
,
Jieping Ye
,
Zhi-Hua Zhou
Journal:
IEEE/ACM Transactions on Computational Biology and Bioinformatics - TCBB
, vol. 9, no. 1, pp. 98-112, 2012
Novel Machine Learning Methods for ERP Analysis: A Validation From Research on Infants at Risk for Autism
(
Citations: 4
)
Daniel Stahl
,
Andrew Pickles
,
Mayada Elsabbagh
,
Mark H. Johnson
Journal:
Developmental Neuropsychology - DEVELOP NEUROPSYCHOL
, vol. 37, no. 3, pp. 274-298, 2012
Multiclass Distance Weighted Discrimination
Hanwen Huang
,
Yufeng Liu
,
Ying Du
,
Charles M. Perou
,
D. Neil Hayes
,
Michael J. Todd
,
J. S. Marron
Journal:
Journal of Computational and Graphical Statistics - J COMPUT GRAPH STAT
, vol. just-accep, no. just-accep, 2012
A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines
Ernesto Vazquez-Sanchez
,
Jaime Gomez-Gil
,
José Carlos Gamazo-Real
,
José Fernando Diez-Higuera
Journal:
IEEE Transactions on Industrial Electronics - IEEE TRANS IND ELECTRON
, vol. 59, no. 3, pp. 1397-1408, 2012
An effective approach for land-cover classification from airborne lidar fused with co-registered data
Yang Cao
,
Hong Wei
,
Huijie Zhao
,
Na Li
Journal:
International Journal of Remote Sensing - INT J REMOTE SENS
, vol. 33, no. 18, pp. 5927-5953, 2012