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Preprocessor
Known as:
Precompiler
, Pre-process
, Preprocessing directive
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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…
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Related topics
Related topics
50 relations
Aspect weaver
Assertion (software development)
Autoconf
Boilerplate 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
2016
Highly Cited
2016
Enriching Word Vectors with Subword Information
Piotr Bojanowski
,
Edouard Grave
,
Armand Joulin
,
Tomas Mikolov
International Conference on Topology, Algebra and…
2016
Corpus ID: 207556454
Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks…
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Highly Cited
2010
Highly Cited
2010
An analysis of the variability in forty preprocessor-based software product lines
Jörg Liebig
,
S. Apel
,
C. Lengauer
,
Christian Kästner
,
M. Schulze
ACM/IEEE 32nd International Conference on…
2010
Corpus ID: 929763
Over 30 years ago, the preprocessor cpp was developed to extend the programming language C by lightweight metaprogramming…
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Highly Cited
2008
Highly Cited
2008
Building Predictive Models in R Using the caret Package
M. Kuhn
2008
Corpus ID: 60488129
The caret package, short for classification and regression training, contains numerous tools for developing predictive models…
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Review
2004
Review
2004
Comparing Media Systems: three models of media and politics
D. Hallin
,
P. Mancini
2004
Corpus ID: 141957131
This book proposes a framework for comparative analysis of the relation between the media and the political system. Building on a…
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Review
2001
Review
2001
GradientBased Learning Applied to Document Recognition
S. Haykin
,
B. Kosko
2001
Corpus ID: 64294544
Multilayer Neural Networks trained with the backpropagation algorithm constitute the best example of a successful Gradient-Based…
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Highly Cited
1999
Highly Cited
1999
Data mining: practical machine learning tools and techniques, 3rd Edition
I. Witten
,
Eibe Frank
,
M. Hall
1999
Corpus ID: 140109802
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as…
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Highly Cited
1999
Highly Cited
1999
OPTICS: ordering points to identify the clustering structure
M. Ankerst
,
M. Breunig
,
H. Kriegel
,
J. Sander
ACM SIGMOD Conference
1999
Corpus ID: 9378040
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the…
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Review
1998
Review
1998
Gradient-based learning applied to document recognition
Yann LeCun
,
L. Bottou
,
Yoshua Bengio
,
P. Haffner
Proceedings of the IEEE
1998
Corpus ID: 14542261
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based…
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Highly Cited
1998
Highly Cited
1998
Approximate nearest neighbors: towards removing the curse of dimensionality
P. Indyk
,
R. Motwani
Symposium on the Theory of Computing
1998
Corpus ID: 6110572
We present two algorithms for the approximate nearest neighbor problem in high-dimensional spaces. For data sets of size n living…
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Highly Cited
1995
Highly Cited
1995
GROMACS: A message-passing parallel molecular dynamics implementation
H. Berendsen
,
D. Spoel
,
R. V. Drunen
1995
Corpus ID: 16125748
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