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» Probabilistic Neural Network Models for Sequential Data
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ESANN
2001
13 years 9 months ago
Optimal transfer function neural networks
Neural networks use neurons of the same type in each layer but such architecture cannot lead to data models of optimal complexity and accuracy. Networks with architectures (number ...
Norbert Jankowski, Wlodzislaw Duch
JMLR
2012
11 years 10 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting
VLDB
1994
ACM
127views Database» more  VLDB 1994»
14 years 8 days ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton
INTERSPEECH
2010
13 years 3 months ago
Comparison of HMM and TMDN methods for lip synchronisation
This paper presents a comparison between a hidden Markov model (HMM) based method and a novel artificial neural network (ANN) based method for lip synchronisation. Both model type...
Gregor Hofer, Korin Richmond
OSDI
2008
ACM
14 years 8 months ago
Probabilistic Inference in Queueing Networks
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
Charles A. Sutton, Michael I. Jordan