Sciweavers

4965 search results - page 185 / 993
» A Simple Abstraction for Data Modeling
Sort
View
ICONIP
2004
15 years 7 months ago
Variational Information Maximization for Neural Coding
Abstract. Mutual Information (MI) is a long studied measure of coding efficiency, and many attempts to apply it to population coding have been made. However, this is a computationa...
Felix V. Agakov, David Barber
CORR
2010
Springer
137views Education» more  CORR 2010»
15 years 6 months ago
Optimizing real-time RDF data streams
Abstract. The Resource Description Framework (RDF) provides a common data model for the integration of emerging "real-time" streams of social and sensor data with the Web...
Joshua Shinavier
ICML
2008
IEEE
16 years 7 months ago
The dynamic hierarchical Dirichlet process
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
Lu Ren, David B. Dunson, Lawrence Carin
ICANN
2003
Springer
15 years 11 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
NIPS
2000
15 years 7 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...