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» On Computing Functions with Uncertainty
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CAGD
2005
75views more  CAGD 2005»
15 years 6 months ago
s-power series: an alternative to Poisson expansions for representing analytic functions
Morin and Goldman [Computer Aided Geometric Design 17 (2000) 813] have recently presented a remarkable new framework, based on employing Poisson series, for describing analytic fu...
Javier Sánchez-Reyes, Jesús Miguel C...
CASC
2010
Springer
151views Mathematics» more  CASC 2010»
15 years 5 months ago
Supporting Global Numerical Optimization of Rational Functions by Generic Symbolic Convexity Tests
Convexity is an important property in nonlinear optimization since it allows to apply efficient local methods for finding global solutions. We propose to apply symbolic methods t...
Winfried Neun, Thomas Sturm, Stefan Vigerske
NAACL
2010
15 years 4 months ago
Multi-document Summarization via Budgeted Maximization of Submodular Functions
We treat the text summarization problem as maximizing a submodular function under a budget constraint. We show, both theoretically and empirically, a modified greedy algorithm can...
Hui Lin, Jeff Bilmes
ECOOP
2012
Springer
13 years 9 months ago
Evaluating the Design of the R Language - Objects and Functions for Data Analysis
R is a dynamic language for statistical computing that combines lazy functional features and object-oriented programming. This rather unlikely linguistic cocktail would probably ne...
Floréal Morandat, Brandon Hill, Leo Osvald,...
DAC
1998
ACM
16 years 7 months ago
Virtual Chip: Making Functional Models Work on Real Target Systems
Namseung Kim, Hoon Choi, Seungjong Lee, Seungwang ...