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Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data
Alaa Maalouf
, Ibrahim Jubran
,
Dan Feldman
Department of Computer Science
Research output
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Contribution to journal
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Article
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peer-review
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Dive into the research topics of 'Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data'. Together they form a unique fingerprint.
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Keyphrases
Least Mean Square
100%
High-dimensional Data
100%
Weighted Sums
33%
Open Source Code
33%
Novel Paradigm
33%
Large Values
33%
Finite Sets
33%
Fast Construction
33%
X100
33%
Machine Learning Problems
33%
Summarization Technique
33%
Scikit-learn
33%
Ridge Regression
33%
Matrix Factorization
33%
Real Return
33%
Data Summarization
33%
Linear Ridges
33%
Constructive Proof
33%
Positive Weights
33%
Real Vectors
33%
Carathéodory's Theorem
33%
Mathematics
Mean Square
100%
Dimensional Data
100%
Matrix (Mathematics)
33%
Ridge Regression
33%
Building Block
33%
Caratheodory Theorem
33%
Weighted Sum
33%
Finite Set
33%
Distributed Data
33%
Factorization
33%
Constructive Proof
33%
Real Vector
33%
Data Streaming
33%
Computer Science
High Dimensional Data
100%
Least-Mean-Square Algorithm
100%
Building-Blocks
33%
Experimental Result
33%
Open Source Code
33%
Constructive Proof
33%
Ridge Regression
33%
Matrix Factorization
33%
Learning Problem
33%
Positive Weight
33%
Machine Learning
33%
Learning System
33%