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...
Combining constraints using logical connectives such as disjunction is ubiquitous in constraint programming, because it adds considerable expressive power to a constraint language...
Christopher Jefferson, Neil C. A. Moore, Peter Nig...
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
The paper addresses the issue of making Virtual Humans unique and typical of some (social or ethnical) group, by endowing them with style. First a conceptual framework of defining ...
Defining the collecting semantics is usually the first crucial step in adapting the general methodology of abstract interpretation to the semantic framework or programming languag...