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Preprocessor

Known as: Precompiler, Pre-process, Preprocessing directive 
In computer science, a preprocessor is a program that processes its input data to produce output that is used as input to another program. The output… Expand
Wikipedia

Related topics

Related topics

50 relations
Aspect weaverAssertion (software development)AutoconfBoilerplate code
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Broader (1)

Programming language implementation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Enriching Word Vectors with Subword Information
Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks… Expand
Highly Cited
2010
Highly Cited
2010
An analysis of the variability in forty preprocessor-based software product lines
Over 30 years ago, the preprocessor cpp was developed to extend the programming language C by lightweight metaprogramming… Expand
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Highly Cited
2008
Highly Cited
2008
Building Predictive Models in R Using the caret Package
The caret package, short for classification and regression training, contains numerous tools for developing predictive models… Expand
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Review
2004
Review
2004
Comparing Media Systems: three models of media and politics
This book proposes a framework for comparative analysis of the relation between the media and the political system. Building on a… Expand
Highly Cited
2002
Highly Cited
2002
The kinetic preprocessor KPP*/a software environment for solving chemical kinetics
Abstract The kinetic preprocessor (KPP) is a software tool that assists the computer simulation of chemical kinetic systems. The… Expand
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Highly Cited
1999
Highly Cited
1999
Data mining: practical machine learning tools and techniques, 3rd Edition
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as… Expand
Highly Cited
1999
Highly Cited
1999
OPTICS: ordering points to identify the clustering structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the… Expand
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Review
1998
Review
1998
Gradient-based learning applied to document recognition
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based… Expand
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Highly Cited
1998
Highly Cited
1998
Approximate nearest neighbors: towards removing the curse of dimensionality
We present two algorithms for the approximate nearest neighbor problem in high-dimensional spaces. For data sets of size n living… Expand
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Highly Cited
1973
Highly Cited
1973
ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE
All digitizing methods, as a general rule, record lines with far more data than is necessary for accurate graphic reproduction or… Expand
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