527 search results - page 61 / 106 » Supervised Hypergraph Labeling |
117
Voted
ICONIP
2007
15 years 3 months ago
2007
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
123
Voted
CEC
2010
IEEE
15 years 6 days ago
2010
IEEE
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
154
Voted
SDM
2011
SIAM
14 years 5 months ago
2011
SIAM
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
120
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
111
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....