State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
This study proposes a methodology to infer maximum air temperature from space using observations from polar orbiting satellite MODIS. A previous study showed that minimum Land Sur...
Pietro Ceccato, Christelle Vancutsem, Marouane Tem...
Several activities in service oriented computing can benefit from knowing ahead of time future properties of a given service composition. In this paper we focus on how statically i...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
A considerable amount of clean semistructured data is internally available to companies in the form of business reports. However, business reports are untapped for data mining, da...
Stephen W. Liddle, Douglas M. Campbell, Chad Crawf...