32 search results - page 6 / 7 » Hybrid coevolutionary algorithms vs. SVM algorithms |
AAAI
2008
13 years 7 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
AIME
2009
Springer
13 years 2 months ago
2009
Springer
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
SYNASC
2006
IEEE
13 years 11 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
BIODATAMINING
2008
13 years 5 months ago
2008
Background: Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in parti...