We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
A new message-passing scheme for MRF optimization is proposed in this paper. This scheme inherits better theoretical properties than all other state-of-the-art message passing met...
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
The computation of dominators in a flowgraph has applications in several areas, including program optimization, circuit testing, and theoretical biology. Lengauer and Tarjan [30]...
Loukas Georgiadis, Renato Fonseca F. Werneck, Robe...
One of congress’ goals for 2007 was for 80% of all tax and informational returns to be filed electronically [9]. However, to date that lofty goal has fallen well short. This res...
Lemuria Carter, Ludwig Christian Schaupp, Allison ...