186 search results - page 14 / 38 » Computational Properties of Probabilistic Neural Networks |
BMCBI
2007
13 years 7 months ago
2007
Background: Oral delivery is a highly desirable property for candidate drugs under development. Computational modeling could provide a quick and inexpensive way to assess the inte...
NECO
2002
13 years 7 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...
FOSSACS
2004
Springer
14 years 28 days ago
2004
Springer
Abstract. Using a probabilistic polynomial-time process calculus designed for specifying security properties as observational equivalences, we develop a form of bisimulation that j...
TNN
2008
13 years 7 months ago
2008
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
DCC
2010
IEEE
13 years 6 months ago
2010
IEEE
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...