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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
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Related topics

Related topics

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

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
HuggingFace's Transformers: State-of-the-art Natural Language Processing
Recent advances in modern Natural Language Processing (NLP) research have been dominated by the combination of Transfer Learning… Expand
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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… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
seL4: formal verification of an OS kernel
Complete formal verification is the only known way to guarantee that a system is free of programming errors. We present our… Expand
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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… Expand
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Highly Cited
2006
Highly Cited
2006
Maximum entropy modeling of species geographic distributions
The availability of detailed environmental data, together with inexpensive and powerful computers, has fueled a rapid increase in… Expand
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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 using… Expand
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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… Expand
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Highly Cited
1987
Highly Cited
1987
Confirmation, Disconfirmation, and Informa-tion in Hypothesis Testing
Strategies for hypothesis testing in scientific investigation and everyday reasoning have interested both psychologists and… Expand
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Highly Cited
1983
Highly Cited
1983
Scale-Space Filtering
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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