- We report classification experiments using the pilot Infant COPE database of neonatal facial expressions. Two sets of DCT coeffiecents were used to train a neural network simulta...
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Motivated from an application to DNA library screening, Balding and Torney [1] and Colbourn [4] studied the following group testing for consecutive positives. Suppose Vn = {v1 v2 ...
models, used for specification, analysis and verification, usually describe sets of implementations by means of a refinement relation. In the branching time setting, implementatio...
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...