8 search results - page 1 / 2 » Time Series Analysis Using Unsupervised Construction of Hier... |
FLAIRS
2001
13 years 6 months ago
2001
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
NIPS
2008
13 years 6 months ago
2008
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...