CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
AI
2009
Springer
13 years 8 months ago
2009
Springer
Abstract. Two novel Natural Language Processing (NLP) classification techniques are applied to the analysis of corporate annual reports in the task of financial forecasting. The ...
VISUAL
2000
Springer
13 years 8 months ago
2000
Springer
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
KDD
2000
ACM
13 years 8 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
ALT
2000
Springer
13 years 8 months ago
2000
Springer
In this paper1 we propose a new algorithm for providing confidence and credibility values for predictions on a multi-class pattern recognition problem which uses Support Vector mac...
EVOW
2006
Springer
13 years 8 months ago
2006
Springer
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
DSD
2004
IEEE
13 years 8 months ago
2004
IEEE
In this paper we present an analysis of the minimal hardware precision required to implement Support Vector Machine (SVM) classification within a Logarithmic Number System archite...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
ICANNGA
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. The use of support vector machines for multi-category problems is still an open field to research. Most of the published works use the one-against-rest strategy, but with...
GECCO
2007
Springer
13 years 8 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...