We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
Background: Molecular-docking-based virtual screening is an important tool in drug discovery that is used to significantly reduce the number of possible chemical compounds to be i...
Shuxing Zhang, Kamal Kumar, Xiaohui Jiang, Anders ...
In this paper we present the internal architecture and bidding mechanisms designed for Mertacor, a successful trading agent, which ended up first in the Classic Trading Agent Comp...
Panos Toulis, Dionisis Kehagias, Pericles A. Mitka...
Partially occluded faces are common in many applications
of face recognition. While algorithms based on sparse
representation have demonstrated promising results, they
achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...