21 search results - page 2 / 5 » Multiclass support vector classification via coding and regr... |
ESANN
2008
13 years 7 months ago
2008
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
ICMLA
2007
13 years 7 months ago
2007
In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic largescale ICD-9 coding of medical patient records. Since most of the ICD...
NIPS
2000
13 years 6 months ago
2000
Output coding is a general method for solving multiclass problems by reducing them to multiple binary classification problems. Previous research on output coding has employed, alm...
TCBB
2010
13 years 6 days ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
TEC
2008
13 years 5 months ago
2008
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...