889 search results - page 13 / 178 » Probabilistic Neural Network Models for Sequential Data |
114
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...
215
Voted
ICDE
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
106
Voted
IWANN
1999
Springer
15 years 6 months ago
1999
Springer
This paper presents results from lesion experiments on a modular attractor neural network model of semantic access. Real picture data forms the basis of perceptual input to the mod...
128
Voted
BIBE
2007
IEEE
15 years 9 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
116
Voted
ICPR
2010
IEEE
15 years 8 months ago
2010
IEEE
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...