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Binary data
Known as:
Binary variable
, Binary random variable
, Dichotomized response variable
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Binary data is data whose unit can take on only two possible states, traditionally termed 0 and +1 in accordance with the binary numeral system and…
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Fast Binary Coding for the Scene Classification of High-Resolution Remote Sensing Imagery
Fan Hu
,
Gui-Song Xia
,
Jingwen Hu
,
Yanfei Zhong
,
Kan Xu
Remote Sensing
2016
Corpus ID: 15948014
Scene classification of high-resolution remote sensing (HRRS) imagery is an important task in the intelligent processing of…
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2012
2012
Multiantenna GLR Detection of Rank-One Signals With Known Power Spectrum in White Noise With Unknown Spatial Correlation
J. Sala-Álvarez
,
Gonzalo Vazquez-Vilar
,
Roberto López-Valcarce
IEEE Transactions on Signal Processing
2012
Corpus ID: 16629426
Multiple-antenna detection of a Gaussian signal with spatial rank one in temporally white Gaussian noise with arbitrary and…
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2012
2012
Automobile Usage and Urban Rail Transit Expansion
Lunyu Xie
2012
Corpus ID: 56366876
Using individual travel diary data collected before and after the rail transit coverage expansion in urban Beijing, this paper…
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2010
2010
On the effectiveness of discretization on gene selection of microarray data
V. Bolón-Canedo
,
N. Sánchez-Maroño
,
Amparo Alonso-Betanzos
IEEE International Joint Conference on Neural…
2010
Corpus ID: 6484988
DNA microarray data is a challenging issue for machine learning researchers due to the high number of gene expression contained…
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2006
2006
Regular Minimality: A Fundamental Law of Discrimination.
E. Dzhafarov
,
H. Colonius
2006
Corpus ID: 124213888
The term discrimination in this chapter is understood in the meaning of telling stimuli apart. More specifically, it refers to a…
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2005
2005
Matching with Multiple Control Groups , and Adjusting for Group Differences
D. Rubin
2005
Corpus ID: 2347809
When estimating causal effects from observational data, it is desirable to replicate a randomized experiment as closely as…
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2000
2000
Topological map for binary data
M. Lebbah
,
F. Badran
,
S. Thiria
The European Symposium on Artificial Neural…
2000
Corpus ID: 18458217
We propose a new algorithm using topological map on binary data. The usual Euclidean distance is replaced by binary distance…
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1999
1999
Group contribution methods–ideal tools for the synthesis and design of separation processes
J. Gmehling
1999
Corpus ID: 56166770
Abstract
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1993
Highly Cited
1993
Channel Coding for Asynchronous fiberoptic Cdma Communications
M. Dale
,
R. Gagliardi
Proceedings. IEEE International Symposium on…
1993
Corpus ID: 21834376
Several studies have explored the feasibility and systems performance aspects of a code division multiple access (CDMA) format…
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