18 search results - page 2 / 4 » Semi-Supervised Model Selection Based on Cross-Validation |
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
The standard, ad-hoc stopping criteria used in decision tree-based context clustering are known to be sub-optimal and require parameters to be tuned. This paper proposes a new app...
FIMH
2005
Springer
14 years 2 months ago
2005
Springer
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification...
CIVR
2008
Springer
13 years 11 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
PR
2007
13 years 8 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...