21 search results - page 2 / 5 » Multiclass support vector classification via coding and regr... |
106
Voted
ESANN
2008
15 years 2 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...
76
Voted
ICMLA
2007
15 years 2 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...
110
Voted
NIPS
2000
15 years 2 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...
138
Voted
TCBB
2010
14 years 7 months 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...
135
Voted
TEC
2008
15 years 18 days 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...