IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
The neural representation of space in rats has inspired many navigation systems for robots. In particular, Self-Organizing (Feature) Maps (SOM) are often used to give a sense of lo...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. The work presented in this paper shows the capability of a connectionist model, based on a statistical technique called Exploratory Projection Pursuit (EPP), to identify ...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
The elastic net and related algorithms, such as generative topographic mapping, are key methods for discretized dimension-reduction problems. At their heart are priors that specify...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
IDEAL
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...