198 search results - page 10 / 40 » Recursive Algorithms of Time Series Observations Recognition |
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
ICPR
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper describes a new approach to the analysis of Poisson point processes, in time (1D) or space (2D), which is based on the minimum description length (MDL) framework. Speci...
SSD
2001
Springer
15 years 2 months ago
2001
Springer
Recently there is much interest in moving objects databases, and data models and query languages have been proposed offering data types such as moving point and moving region toge...
IJCIA
2006
14 years 9 months ago
2006
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
NIPS
2008
14 years 11 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...