Adaptive least square kernel algorithms and applications

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2002, Pages 2104-2107

  Kuh, Anthony ^a  

^a University of Hawaii at Manoa   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; LAGRANGE MULTIPLIERS; LEAST SQUARES APPROXIMATIONS; LINEAR EQUATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTICAL CHARACTER RECOGNITION; OPTIMIZATION; QUADRATIC PROGRAMMING; REGRESSION ANALYSIS; SIGNAL PROCESSING; VECTORS;

ADAPTIVE LEAST SQUARE KERNEL ALGORITHMS; BATCH MODE; BINARY CLASSIFICATION; DECISION FUNCTION; OPTIMAL MARGIN CLASSIFIER; RECURSIVE LEAST SQUARES; SEQUENTIAL MINIMIZATION OPTIMIZATION; SUPPORT VECTOR MACHINE;

ADAPTIVE ALGORITHMS;

EID: 0036086361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. A training algorithm for optimal margin classifiers
2. Support vector networks
3. Support vector machine for multiuser detection
4. Adaptive kernel methods for CDMA systems
5. Analysis of detectors for support vector machines and least square support vector machines
6. Nonlinear programming
7. Lagrangian support vector machines
8. An introduction to kernel-based learning algorithms
9. Sequential minimal optimization: A fast algorithm for training support vector machines
10. Last squares support vector machine classifiers
11. Sparse approximation using least squares support vector machines