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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…
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Related topics
Related topics
20 relations
Basis function
Categorical variable
Dummy variable (statistics)
Factor analysis
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Equality of Opportunity in Supervised Learning
Moritz Hardt
,
Eric Price
,
Nathan Srebro
NIPS
2016
Corpus ID: 7567061
We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to…
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Highly Cited
2015
Highly Cited
2015
Development of Low Voltage Network Templates—Part I: Substation Clustering and Classification
Ran Li
,
C. Gu
,
Furong Li
,
G. Shaddick
,
Mark Dale
IEEE Transactions on Power Systems
2015
Corpus ID: 34177162
In order to improve low voltage (LV) network visibility without extensive monitoring and integrate low carbon technologies (LCTs…
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Highly Cited
2014
Highly Cited
2014
A high capacity reversible data hiding scheme based on generalized prediction-error expansion and adaptive embedding
Xinlu Gui
,
Xiaolong Li
,
Bin Yang
Signal Processing
2014
Corpus ID: 5493160
2011
2011
Lossless predictive compression of medical images
A. Avramović
,
S. Savić
2011
Corpus ID: 44190555
Among the many categories of images that require lossless compression, medical images can be indicated as one of the most…
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2011
2011
Colored Image Compression Using Gradient Adjustment Prediction Based Wavelet
M. F. Al-Sammraie
2011
Corpus ID: 37280593
Problem statement: Uncompressed graphics, audio and video data require considerable storage capacity and transmission bandwidth…
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2010
2010
Runtime workload behavior prediction using statistical metric modeling with application to dynamic power management
R. Sarikaya
,
C. Isci
,
A. Buyuktosunoglu
IEEE International Symposium on Workload…
2010
Corpus ID: 18023560
Adaptive computing systems rely on accurate predictions of workload behavior to understand and respond to the dynamically-varying…
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Highly Cited
2006
Highly Cited
2006
A new edge detection approach based on image context analysis
Yuan-Hui Yu
,
Chinchen Chang
Image and Vision Computing
2006
Corpus ID: 26468697
2000
2000
Hybridizing and coalescing load value predictors
Martin Burtscher
,
B. Zorn
Proceedings International Conference on Computer…
2000
Corpus ID: 2041778
Most well-performing load value predictors are hybrids that combine multiple predictors into one. Such hybrids are often large…
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Highly Cited
1991
Highly Cited
1991
On the use of pitch predictors with high temporal resolution
P. Kroon
,
B. Atal
IEEE Transactions on Signal Processing
1991
Corpus ID: 34016735
The use of pitch predictors in linear predictive coding systems is an efficient way to represent periodicity in the speech signal…
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1991
1991
ON IMPROVING THE PERFORMANCE OF PITCH PREDICTORS IN SPEECH CODING SYSTEMS
P. Kroon
,
B. Atal
1991
Corpus ID: 59767629
Pitch prediction [1] plays an important role in many speech coding systems such as multipulse [2] and vector or code-excited…
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