|
25
|
Alpha seeding for support vector machines
– Dennis Decoste, Kiri Wagstaff
- 2000
|
|
2
|
Making SVMs scalable to large data sets using hierarchical cluster indexing
– Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li
|
|
|
SEQUENTIAL MAXIMUM GRADIENT OPTIMIZATION FOR SUPPORT VECTOR DETECTION
– Mireille Tohmé, Régis Lengellé
|
|
6
|
Optimization Methods In Massive Datasets
– P.S. Bradley, O. L. Mangasarian, D. R. Musicant
|
|
1
|
Support Vector Machines and Kernel Fisher Discriminants: A Case Study using Electronic Nose Data
– Dennis DeCoste, Michael C. Burl, Alan Hopkins, Nathan S. Lewis
|
|
|
F_β Support Vector Machines
– Jerome Callut, Pierre Dupont
- 2005
|
|
55
|
A Linear Programming Approach to Novelty Detection
– Colin Campbell, Kristin P. Bennett
- 2001
|
|
14
|
Kernel Methods: A Survey of Current Techniques
– Colin Campbell
- 2000
|
|
2
|
Support Vector Machines in Bioinformatics
– Florian Markowetz, Betreuer Prof, Dr. E. Mammen, Mathematische Fakultat Der, Jorge Luis Borges
- 2001
|
|
1
|
Classification of Rheumatoid Joint Inflammation Based on Laser Imaging
– Anton Schwaighofer, Volker Tresp, Peter Mayer, Andreas Krause, Ingolf Mesecke-von Rhein, Helmut Rost, Georg Metzger, Gerhard A. Müller, Er K. Scheel
|
|
10
|
Invariant Feature Extraction and Biased Statistical Inference for Video Surveillance
– Yi Wu, Long Jiao, Gang Wu, Edward Chang, Yuan-fang Wang
- 2003
|
|
13
|
Fast SVM training algorithm with decomposition on very large data sets
– Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
- 2005
|
|
92
|
Torch: A Modular Machine Learning Software Library
– Ronan Collobert, Samy Bengio, Johnny Marithoz
- 2002
|
|
56
|
A Parallel Mixture of SVMs for Very Large Scale Problems
– Ronan Collobert, Samy Bengio, Yoshua Bengio
- 2002
|
|
29
|
Parallel support vector machines: The cascade svm
– Hans Peter Graf, Eric Cosatto, Leon Bottou, Igor Durdanovic, Vladimir Vapnik
- 2005
|
|
2
|
Data Mining Via Mathematical Programming And Machine Learning
– David R. Musicant
- 2000
|
|
4
|
Fast modular network implementation for support vector machines
– Guang-Bin Huang, K. Z. Mao, Chee-Kheong Siew, De-Shuang Huang
- 2005
|
|
5
|
A Geometric Approach to Train Support Vector Machines
– Ming-hsuan Yang, Narendra Ahuja
- 2000
|
|
61
|
Core vector machines: Fast SVM training on very large data sets
– Ivor W. Tsang, James T. Kwok, Pak-ming Cheung, Nello Cristianini
- 2005
|
