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ICML
2007
IEEE
14 years 8 months ago
Least squares linear discriminant analysis
Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. LDA in the binaryclass case has been shown to be equivalent to linear re...
Jieping Ye
DCG
2000
59views more  DCG 2000»
13 years 7 months ago
Regression Depth and Center Points
Nina Amenta, Marshall W. Bern, David Eppstein, Sha...
CSDA
2007
159views more  CSDA 2007»
13 years 7 months ago
Multivariate out-of-sample tests for Granger causality
A time series is said to Granger cause another series if it has incremental predictive power when forecasting it. While Granger causality tests have been studied extensively in th...
Sarah Gelper, Christophe Croux
ICML
2010
IEEE
13 years 8 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
ISBI
2008
IEEE
14 years 8 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...