Sciweavers

482 search results - page 13 / 97
» Depth-based inference for functional data
Sort
View
JMLR
2010
93views more  JMLR 2010»
14 years 6 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
BMCBI
2011
14 years 3 months ago
Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis
Background: Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information ca...
Artem Lysenko, Michael Defoin-Platel, Keywan Hassa...
ACMSE
2006
ACM
15 years 5 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...
CSDA
2008
108views more  CSDA 2008»
14 years 12 months ago
The random Tukey depth
The computation of the Tukey depth, also called halfspace depth, is very demanding, even in low dimensional spaces, because it requires that all possible one-dimensional projectio...
J. A. Cuesta-Albertos, A. Nieto-Reyes
PLDI
2005
ACM
15 years 5 months ago
Checking type safety of foreign function calls
We present a multi-lingual type inference system for checking type safety across a foreign function interface. The goal of our system is to prevent foreign function calls from int...
Michael Furr, Jeffrey S. Foster