In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
To extract features from an event in an on-line newspaper, two major steps are involved: Extracting the free formatted events’ announcements from the web sites and (b) extractin...
Ray R. Hashemi, Charles Ford, Ashish Bansal, Steph...
Printer manufacturers design print heads and halftone patterns to result in specific types of image characteristics. Many image quality artifacts are a result of differences in ac...
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...