The problem of document categorization is considered. The set of domains and the keywords specific for these domains is supposed to be selected beforehand as initial data. We apply...
Mikhail Alexandrov, Alexander F. Gelbukh, George L...
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Interactive visualization of remote sensing data allows the user to explore the full scope of the data sets. Combining and comparing different modalities can give additional insig...
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
The knowledge management literature focuses on the bright side of KM; it barely mentions the dark side, in which knowledge is distorted, suppressed, or misappropriated due to pers...