889 search results - page 101 / 178 » Probabilistic Neural Network Models for Sequential Data |
109
Voted
ECCV
2000
Springer
16 years 4 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
130
Voted
NECO
2002
15 years 2 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
107
Voted
NN
2007
Springer
15 years 2 months ago
2007
Springer
On the basis of detailed analysis of reaction times and neurophysiological data from tasks involving choice, it has been proposed that the brain implements an optimal statistical ...
143
Voted
NN
2002
Springer
15 years 2 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
125
Voted
ICANN
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...