SCOPUS 정보 검색 플랫폼

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4668 LNCS, Issue PART 1, 2007, Pages 209-218

Incremental and decremental learning for linear support vector machines

(3) Romero, Enrique a Barrio, Ignacio a Belanche, Lluís a

a UNIVERSITAT POLITÈCNICA DE CATALUNYA (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

GEOMETRY; NEURAL NETWORKS;

INCREMENTAL AND DECREMENTAL LEARNING; INNER PRODUCT; LINEAR SUPPORT VECTOR MACHINES; MATRIX INVERSIONS; MAXIMAL MARGIN; RE-COMPUTING; SIMILARITY MEASURE;

SUPPORT VECTOR MACHINES;

EID: 38149134613 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/978-3-540-74690-4_22 Document Type: Conference Paper

Times cited : (24)

References (9)

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- Incremental and Decremental Support Vector Machine Learning
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3
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- Martin, M.: On-Line Support Vector Machine Regression. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) ECML 2002. LNCS (LNAI), 2430, pp. 282-294. Springer, Heidelberg (2002)
- Martin, M.: On-Line Support Vector Machine Regression. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) ECML 2002. LNCS (LNAI), vol. 2430, pp. 282-294. Springer, Heidelberg (2002)

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- Dynamically Adapting Kernels in Support Vector Machines
- MIT Press, Cambridge
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- Cristianini, N.¹ Campbell, C.² Shawe-Taylor, J.³

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- SVM Incremental Learning, Adaptation and Optimization
- Diel, C., Cauwenberghs, G.: SVM Incremental Learning, Adaptation and Optimization. In: International Joint Conference on Neural Networks, vol. 4, pp. 2685-2690 (2003)
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- Diel, C.¹ Cauwenberghs, G.²

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- Hastie, T.¹ Rosset, S.² Tibshirani, R.³ Zhun, J.⁴

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- Gene Selection for Cancer Classification using Support Vector Machines
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