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SODA
1994
ACM
105views Algorithms» more  SODA 1994»
15 years 7 months ago
Approximate Data Structures with Applications
Abstract Yossi Matias Je rey Scott Vitter y Neal E. Young z In this paper we introduce the notion of approximate data structures, in which a small amount of error is tolerated in...
Yossi Matias, Jeffrey Scott Vitter, Neal E. Young
BMCBI
2007
182views more  BMCBI 2007»
15 years 6 months ago
Hybrid elementary flux analysis/nonparametric modeling: application for bioprocess control
Background: The progress in the "-omic" sciences has allowed a deeper knowledge on many biological systems with industrial interest. This knowledge is still rarely used ...
Ana P. Teixeira, Carlos Alves, Paula M. Alves, Man...
JAT
2010
109views more  JAT 2010»
15 years 4 months ago
Networks of polynomial pieces with application to the analysis of point clouds and images
We consider H¨older smoothness classes of surfaces for which we construct piecewise polynomial approximation networks, which are graphs with polynomial pieces as nodes and edges ...
Ery Arias-Castro, Boris Efros, Ofer Levi
AI
2011
Springer
15 years 1 months ago
Approximation of action theories and its application to conformant planning
This paper describes our methodology for building conformant planners, which is based on recent advances in the theory of action and change and answer set programming. The develop...
Phan Huy Tu, Tran Cao Son, Michael Gelfond, A. Ric...
ICML
2008
IEEE
16 years 7 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell