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Linear predictor function

In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to… Expand
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Highly Cited
2015
Highly Cited
2015
In order to improve low voltage (LV) network visibility without extensive monitoring and integrate low carbon technologies (LCTs… Expand
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Highly Cited
2014
Highly Cited
2014
In this paper, a high capacity reversible image data hiding scheme is proposed based on a generalization of prediction-error… Expand
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2014
2014
In this paper, a new study based on machine learning technique, specifically artificial neural network, is investigated to… Expand
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2011
2011
Among the many categories of images that require lossless compression, medical images can be indicated as one of the most… Expand
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2010
2010
Adaptive computing systems rely on accurate predictions of workload behavior to understand and respond to the dynamically-varying… Expand
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Highly Cited
2006
Highly Cited
2006
Abstract A new adaptive edge detection approach based on image context analysis is presented in this paper. The proposed approach… Expand
Highly Cited
1991
Highly Cited
1991
The use of pitch predictors in linear predictive coding systems is an efficient way to represent periodicity in the speech signal… Expand
1991
1991
A pitch predictor is described that is designed to operate in a low-delay vector excitation coder. The low-delay requirement of… Expand
1991
1991
Pitch prediction [1] plays an important role in many speech coding systems such as multipulse [2] and vector or code-excited… Expand