18 search results - page 2 / 4 » Semi-Supervised Model Selection Based on Cross-Validation |
ICML
2003
IEEE
14 years 6 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
12 years 9 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
13 years 11 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 7 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 5 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...