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Binary data

Known as: Binary variable, Binary random variable, Dichotomized response variable 
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.
Highly Cited
2013
Highly Cited
2013
The Definitive Guide to HTML5 WebSocket
The Definitive Guide to HTML5 WebSocket is the ultimate insiders WebSocket resource. This revolutionary new web technology… 
Highly Cited
2009
Highly Cited
2009
Nonparallel plane proximal classifier
Highly Cited
2007
Highly Cited
2007
Opportunistic Feedback for Multiuser MIMO Systems With Linear Receivers
A novel multiuser scheduling and feedback strategy for the multiple-input multiple-output (MIMO) downlink is proposed in this… 
2007
2007
Tree-net architecture for integrated all-optical arithmetic operations and data comparison scheme with optical nonlinear material
Highly Cited
2006
Highly Cited
2006
SensorBase.org– ACENTRALIZED REPOSITORY TO SLOG SENSOR NETWORK DATA ∗
: Various sensor networks use different data storage and management mechanisms. In particular, UCLA’s ESS2 mechanism forwards… 
Highly Cited
2004
Highly Cited
2004
A Boosting Algorithm for Classification of Semi-Structured Text
The focus of research in text classification has expanded from simple topic identification to more challenging tasks such as… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1995
Highly Cited
1995
Direct Extraction of Topographic Features for Gray Scale Character Recognition
Optical character recognition (OCR) traditionally applies to binary-valued imagery although text is always scanned and stored in… 
Highly Cited
1991
Highly Cited
1991
Physically realistic fault models for analog CMOS neural networks
A general methodology for the development of physically realistic fault models for VLSI neural networks is presented. The derived… 
Highly Cited
1961
Highly Cited
1961
On the State Assignment Problem for Sequential Machines. I
In this paper, the problem of determining economical state assignments for finite-state sequential machines is studied. The… 
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