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A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class includes AdaBoost, LogitBoost, and other widely used and well-studied boosters. In this paper we show that for a broad c ...

Biologists frequently use databases; for example, when a biologist encounters some unfamiliar proteins, s/he will use databases to get a preliminary idea of what is known about them. The databases can be often interpreted as lists of assertions. An example is a protein-protein interaction database: ...

We study the fundamental problem of learning an unknown large-margin halfspace in the context of parallel computation. Our main positive result is a parallel algorithm for learning a large-margin halfspace that is based on interior point methods from convex optimization and fast parallel algorithms ...

We describe a system, Sentient Aware, that allows a user to interactively navigate through a catalog by viewing and clicking on images of products. When a user clicks on a product, she receives a new set of products to browse that is enriched for products that are similar to the clicked product. ...