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ICANN
2001
Springer
15 years 1 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
15 years 1 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
ICDAR
2009
IEEE
14 years 7 months ago
Recognition of Handwritten Numerical Fields in a Large Single-Writer Historical Collection
This paper presents a segmentation-based handwriting recognizer and the performance that it achieves on the numerical fields extracted from a large single-writer historical collec...
Marius Bulacu, Axel Brink, Tijn van der Zant, Lamb...
ICPR
2008
IEEE
15 years 10 months ago
Pattern rejection strategies for the design of self-paced EEG-based Brain-Computer Interfaces
This paper deals with pattern rejection strategies for self-paced Brain-Computer Interfaces (BCI). First, it introduces two pattern rejection strategies not used yet for self-pace...
Fabien Lotte, Harold Mouchère, Anatole L&ea...
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AUSAI
2008
Springer
14 years 11 months ago
Using Gaussian Processes to Optimize Expensive Functions
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Marcus R. Frean, Phillip Boyle