Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
We address the problem of efficient end-to-end network monitoring of path metrics in communication networks. Our goal is to minimize the number of measurements or monitors requir...
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
s from Biomedical Abstracts Patrick Rucha , Celia Boyer c , Christine Chichesterb , Imad Tbahritiab Antoine Geissbühlera , Paul Fabrya , Julien Gobeilla , Violaine Pilletab , Diet...