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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

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2016
2016
Without demand-side management, an increase in the number of electric vehicles (EVs) could result in overloads on distribution… 
Highly Cited
2010
Highly Cited
2010
Modeling the fundamental performance limits of Wireless Sensor Networks (WSNs) is of paramount importance to understand their… 
2010
2010
DNA microarray data is a challenging issue for machine learning researchers due to the high number of gene expression contained… 
2006
2006
Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous… 
2006
2006
The term discrimination in this chapter is understood in the meaning of telling stimuli apart. More specifically, it refers to a… 
2005
2005
When estimating causal effects from observational data, it is desirable to replicate a randomized experiment as closely as… 
Highly Cited
1995
Highly Cited
1995
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1993
Highly Cited
1993
Several studies have explored the feasibility and systems performance aspects of a code division multiple access (CDMA) format… 
Highly Cited
1991
Highly Cited
1991
Optimum and heuristic algorithms for the general decomposition of finite state machines (FSMs) such that the sum total of the…