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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
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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.
Review
2020
Review
2020
Algorithmic Fairness
An increasing number of decisions regarding the daily lives of human beings are being controlled by artificial intelligence (AI… Expand
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Review
2019
Review
2019
A review on weed detection using ground-based machine vision and image processing techniques
Abstract Weeds are among the major factors that could harm crop yield. With the advances in electronic and information… Expand
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Review
2019
Review
2019
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity
Characteristics extracted from the training datasets of classification problems have proven to be effective predictors in a… Expand
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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
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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
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
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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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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
1990
Highly Cited
1990
Finding Groups in Data: An Introduction to Cluster Analysis
1. Introduction. 2. Partitioning Around Medoids (Program PAM). 3. Clustering large Applications (Program CLARA). 4. Fuzzy… Expand
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