22 search results - page 4 / 5 » An Effective Neural Network Model for Graph-based Dependency... |
NIPS
2008
13 years 7 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
NIPS
1998
13 years 7 months ago
1998
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
ESM
2000
13 years 7 months ago
2000
A data simulator that can facilitate the development of improved sampling and analysis procedures for spatial analysis is proposed. The simulator, implemented in MATLAB, provides ...
NN
2007
Springer
13 years 5 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
ACTAC
2006
13 years 5 months ago
2006
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...