881 search results - page 73 / 177 » Spectral Algorithms for Supervised Learning |
ESANN
2001
14 years 11 months ago
2001
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
ICML
1994
IEEE
15 years 1 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
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PRIB
2009
Springer
15 years 4 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...