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ISO/IEC 11404

Known as: GPD, Language-independent datatypes, Language independent data types 
ISO/IEC 11404, General Purpose Datatypes (GPD), are a collection of datatypes defined independently of any particular programming language or… 
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Related topics

Related topics

4 relations
FortranISO/IEC 10967Knowledge Discovery MetamodelLanguage-independent specification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Effect of climate change and variability on extreme rainfall intensity–frequency–duration relationships: a case study of Melbourne
The increased frequency and magnitude of extreme rainfall events due to anthropogenic climate change, and decadal and multi… 
Highly Cited
2010
Highly Cited
2010
Nonstationary probabilistic downscaling of extreme precipitation
[1] Reanalysis data and general circulation model outputs typically provide information at a coarse spatial resolution, which… 
Highly Cited
2010
Highly Cited
2010
Study on benefit transfer in an international setting. How to improve welfare estimates in the case of the countries' income heterogeneity?
Highly Cited
2008
Highly Cited
2008
Joint Scheduling and Congestion Control in Mobile Ad-Hoc Networks
In this paper we study the problem of jointly performing scheduling and congestion control in mobile ad-hoc networks so that… 
Highly Cited
2005
Highly Cited
2005
Exploiting structural duplication for lifetime reliability enhancement
Increased power densities (and resultant temperatures) and other effects of device scaling are predicted to cause significant… 
Highly Cited
2003
Highly Cited
2003
Lap Band® adjustable gastric banding system
Background: The Lap Band system procedure is currently the most common bariatric surgical procedure worldwide. This is an interim… 
Highly Cited
2002
Highly Cited
2002
A Dynamic Mixture Model for Unsupervised Tail Estimation without Threshold Selection
Exceedances over high thresholds are often modeled by fitting a generalized Pareto distribution (GPD) on R+. It is difficult to… 
Review
1998
Review
1998
Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method
This paper provides a comprehensive introduction to a novel approach to pattern recognition which is based on the generalized… 
Highly Cited
1992
Highly Cited
1992
Segmental GPD training of HMM based speech recognizer
A novel training algorithm, segmental GPD (generalized probabilistic descent) training, for a hidden Markov model (HMM)-based… 
Highly Cited
1991
Highly Cited
1991
New discriminative training algorithms based on the generalized probabilistic descent method
The authors developed a generalized probabilistic descent (GPD) method by extending the classical theory on adaptive training by… 
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