Learning with infinitely many kernels via semi-infinite programming

20th International Conference EURO Mini Conference "Continuous Optimization and Knowledge-Based Technologies", EurOPT 2008

Volumn , Issue , 2008, Pages 342-348

  Ozogur Akyuz, Süreyya ^a   Weber, Gerhard Wilhelm ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Continuous optimization; Data mining; Infinite programming; Machine learning; Semi infinite optimization; Support vector machines

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; DISTRIBUTION FUNCTIONS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL PROGRAMMING; SUPPORT VECTOR MACHINES;

BILEVEL OPTIMIZATION PROBLEMS; CONTINUOUS OPTIMIZATION; CONVEX COMBINATIONS; HETEROGENEOUS DATA; INTEGRAL CONSTRAINTS; PROBABILITY MEASURES; SEMI INFINITE PROGRAMMING; SEMI-INFINITE OPTIMIZATION;

OPTIMIZATION;

EID: 84910107082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Anderson, E. J., and Nash, P. 1987. Linear Programming in Infinite-Dimensional Spaces. John Wiley and Sons Ltd.
2. Apostol, T. M. 1974. Mathematical Analysis: A Modern Approach to Advanced Calculus. Addison Wesley.
3. Bach, F. R. and Lanckriet, G. R. G. 2004. Multiple kernel learning, conic duality, and the smo algorithm, in Proceedings of the 21 st International Conference on Machine Learning, Banff, Canada
4. Cristianini, N. and Shawe-Taylor, J. 2000. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press.
5. Hettich, R., and Zencke, P. 1982. Numerische Methoden der Approximation und semi-infiniten Optimierung . Teubner, Stuttgart.
6. Goberna, M. A. and Lopez, M. A. 1998. Linear Semi-Infinite Optimization . John Wiley and Sons Ltd.
7. Lanckriet, G. R. G.; Bie, T. D.; Cristianini, N.; Jordan, M. and Noble, W. 2004a. A statistical framework for genomic data fusion, Bioinformatics 20: 2626-2635.
8. Lanckriet, G. R. G.; Cristianini, N.,; Ghaoui, L. E.; Bartlett, P. and Jordan, M. I. 2004b. Learning the kernel matrix with semidefinite programming, J. Machine Learning Research 5: 27-72.
9. th International Conference on Machine Learning, Corvallis, OR.