185 search results - page 1 / 37 » A metric approach toward point process divergence |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This paper addresses the estimation of symmetric χ2 -divergence between two point processes. We propose a novel approach by, first, mapping the space of spike trains in an appro...
ICDM
2009
IEEE
13 years 4 months ago
2009
IEEE
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...
ENTCS
2010
13 years 7 months ago
2010
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
JMLR
2010
13 years 1 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...