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CSDA
2006
233views more  CSDA 2006»
13 years 9 months ago
Analysis of Type-II progressively hybrid censored data
The mixture of Type-I and Type-II censoring schemes, called the hybrid censoring scheme is quite common in life-testing or reliability experiments. Recently Type-II progressive ce...
Debasis Kundu, Avijit Joarder
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 9 months ago
Modeling the structure and evolution of discussion cascades
We analyze the structure and evolution of discussion cascades in four popular websites: Slashdot, Barrapunto, Meneame and Wikipedia. Despite the big heterogeneities between these ...
Vicenç Gómez, Hilbert J. Kappen, And...
ICML
2003
IEEE
14 years 9 months ago
Optimization with EM and Expectation-Conjugate-Gradient
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 10 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
BMCBI
2010
113views more  BMCBI 2010»
13 years 9 months ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...