7 search results - page 1 / 2 » Change-Point Detection in Time-Series Data by Direct Density... |
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
NN
2010
Springer
13 years 2 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
BMCBI
2007
13 years 4 months ago
2007
Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...