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RC
2007
83views more  RC 2007»
15 years 5 months ago
Computing the Pessimism of Inclusion Functions
Abstract. “Computing the pessimism” means bounding the overestimation produced by an inclusion function. There are two important distinctions with classical error analysis. Fir...
Gilles Chabert, Luc Jaulin
WEBI
2010
Springer
15 years 4 months ago
Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity
Web 2.0 provided internet users with a dynamic medium, where information is updated continuously and anyone can participate. Though preliminary analysis exists, there is still lit...
Konstantinos N. Vavliakis, Andreas L. Symeonidis, ...
DM
2011
228views Education» more  DM 2011»
15 years 1 months ago
The largest missing value in a composition of an integer
Archibald and Knopfmacher recently considered the largest missing value in a composition of an integer and established mean and variance. Our alternative, probabilistic approach p...
Margaret Archibald, Arnold Knopfmacher
JCNS
2010
103views more  JCNS 2010»
15 years 28 days ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
CORR
2012
Springer
225views Education» more  CORR 2012»
14 years 1 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma