571 search results - page 51 / 115 » Learning with Constrained and Unlabelled Data |
WAIM
2009
Springer
14 years 2 months ago
2009
Springer
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
TNN
2010
13 years 4 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
IWANN
2005
Springer
14 years 3 months ago
2005
Springer
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
SSPR
2004
Springer
14 years 3 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...