Sciweavers

18 search results - page 2 / 4
» Semi-Supervised Model Selection Based on Cross-Validation
Sort
View
ICML
2003
IEEE
16 years 16 days ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
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...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
ICASSP
2011
IEEE
14 years 3 months ago
Decision tree-based context clustering based on cross validation and hierarchical priors
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...
Heiga Zen, Mark J. F. Gales
FIMH
2005
Springer
15 years 5 months ago
A Deterministic-Statistic Adventitia Detection in IVUS Images
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification...
Debora Gil, Aura Hernandez, Antoni Carol, Oriol Ro...
133
Voted
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Semi-supervised learning of object categories from paired local features
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...
Wen Wu, Jie Yang
PR
2007
104views more  PR 2007»
14 years 11 months ago
Optimizing resources in model selection for support vector machine
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...
Mathias M. Adankon, Mohamed Cheriet