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» Cosparse analysis modeling - uniqueness and algorithms
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144
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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 5 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
130
Voted
NIPS
2007
15 years 6 months ago
Catching Up Faster in Bayesian Model Selection and Model Averaging
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
Tim van Erven, Peter Grunwald, Steven de Rooij
IPL
2008
80views more  IPL 2008»
15 years 4 months ago
A simpler competitive analysis for scheduling equal-length jobs on one machine with restarts
We consider the online problem of scheduling jobs with equal processing times on a single machine. Each job has a release time and a deadline, and the goal is to maximize the numb...
Michael H. Goldwasser, Arundhati Bagchi Misra
IOR
2006
75views more  IOR 2006»
15 years 4 months ago
Sensitivity of Performance in the Erlang-A Queueing Model to Changes in the Model Parameters
This paper studies the M/M/s+M queue, i.e., the M/M/s queue with customer abandonment, also called the Erlang-A model, having independent and identically distributed customer aban...
Ward Whitt
COMPGEOM
2008
ACM
15 years 6 months ago
Self-improving algorithms for delaunay triangulations
We study the problem of two-dimensional Delaunay triangulation in the self-improving algorithms model [1]. We assume that the n points of the input each come from an independent, ...
Kenneth L. Clarkson, C. Seshadhri