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General-purpose modeling

Known as: General purpose modeling, General-purpose, General-purpose modeling language 
General-purpose modelling (GPM) is the systematic use of a general-purpose modelling language to represent the various facets of an object or a… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining… Expand
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Highly Cited
2016
Highly Cited
2016
We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection… Expand
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Highly Cited
2016
Highly Cited
2016
A very active area of materials research is to devise methods that use machine learning to automatically extract predictive… Expand
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Highly Cited
2014
Highly Cited
2014
We marry ideas from deep neural networks and approximate Bayesian inference to derive a generalised class of deep, directed… Expand
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Highly Cited
2008
Highly Cited
2008
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing… Expand
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Highly Cited
2006
Highly Cited
2006
The availability of detailed environmental data, together with inexpensive and powerful computers, has fueled a rapid increase in… Expand
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Review
2005
Review
2005
The paper addresses modelling concepts based on the RANS equations for laminar-turbulent transition prediction in general-purpose… Expand
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Highly Cited
2000
Highly Cited
2000
We present here SIMPLIcity (Semantics-sensitive Integrated Matching for Picture LIbraries), an image retrieval system using… Expand
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Highly Cited
1995
Highly Cited
1995
Multiclass learning problems involve finding a definition for an unknown function f(x) whose range is a discrete set containing k… Expand
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Highly Cited
1983
Highly Cited
1983
The extrema in a signal and its first few derivatives provide a useful general-purpose qualitative description for many kinds of… Expand
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