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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… 
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Related topics

Related topics

18 relations
Analogical modelingDomain-specific languageDomain-specific modelingDomain-specific multimodeling

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2020
Highly Cited
2020
Transformers: State-of-the-Art Natural Language Processing
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining… 
Highly Cited
2019
Highly Cited
2019
HuggingFace's Transformers: State-of-the-art Natural Language Processing
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining… 
Highly Cited
2016
Highly Cited
2016
You Only Look Once: Unified, Real-Time Object Detection
We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection… 
Highly Cited
2014
Highly Cited
2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
We marry ideas from deep neural networks and approximate Bayesian inference to derive a generalised class of deep, directed… 
Highly Cited
2008
Highly Cited
2008
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing… 
Highly Cited
2006
Highly Cited
2006
Maximum entropy modeling of species geographic distributions
Review
2005
Review
2005
Transition Modelling for General Purpose CFD Codes
Highly Cited
2000
Highly Cited
2000
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
We present here SIMPLIcity (semantics-sensitive integrated matching for picture libraries), an image retrieval system, which uses… 
Highly Cited
1995
Highly Cited
1995
Solving Multiclass Learning Problems via Error-Correcting Output Codes
Multiclass learning problems involve finding a definition for an unknown function f(x) whose range is a discrete set containing k… 
Highly Cited
1983
Highly Cited
1983
Scale-Space Filtering
  • A. Witkin
  • International Joint Conference on Artificial…
  • 1983
  • Corpus ID: 7096897
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