This paper proposes a novel composite kernel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related feat...
Accurate and reliable protein structure prediction (PSP) eludes researchers primarily becausethe searchfor theminimumenergyconformeris computationallyintractable. This research di...
Charles E. Kaiser, Laurence D. Merkle, Gary B. Lam...
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
We describe a spatio-temporal triangulation method to be used with rolling shutter cameras. We show how a single pair of rolling shutter images enables the computation of both str...