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» Optimizing Complex Loss Functions in Structured Prediction
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GECCO
2004
Springer
139views Optimization» more  GECCO 2004»
15 years 8 months ago
Chemical Genetic Programming - Coevolution Between Genotypic Strings and Phenotypic Trees
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings ...
Wojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai
CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 10 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
239
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SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
16 years 3 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
CORR
2008
Springer
170views Education» more  CORR 2008»
15 years 3 months ago
To Broad-Match or Not to Broad-Match : An Auctioneer's Dilemma ?
We initiate the study of an interesting aspect of sponsored search advertising, namely the consequences of broad match- a feature where an ad of an advertiser can be mapped to a b...
Sudhir Kumar Singh, Vwani P. Roychowdhury
BMCBI
2011
14 years 6 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...