Least squares

Known as: Least squares method, Least-squares fit, LS 
The method of least squares is a standard approach in regression analysis to the approximate solution of overdetermined systems, i.e., sets of… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Unsupervised learning with generative adversarial networks (GANs) has proven hugely successful. Regular GANs hypothesize the… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Least squares approximation is a technique to find an approximate solution to a system of linear equations that has no exact… (More)
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. LDA in the binaryclass… (More)
  • table 1
  • table 2
  • table 3
Is this relevant?
Highly Cited
2004
Highly Cited
2004
In this paper we introduce least-squares meshes: meshes with a prescribed connectivity that approximate a set of control points… (More)
Is this relevant?
Highly Cited
2003
Highly Cited
2003
We propose a new approach to reinforcement learning for control problems which combines value-function approximation with linear… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1999
Highly Cited
1999
Excerpted from:Boyan, Justin. Learning Evaluation Functions for Global Op timization. Ph.D. thesis, Carnegie Mellon University… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
1996
Highly Cited
1996
This work presents a new efficient method for fitting ellipses to scattered data. Previous algorithms either fitted general… (More)
  • figure 6
Is this relevant?
Highly Cited
1993
Highly Cited
1993
The EM algorithm is the basic approach used to maximize the log likelihood objective function for the reconstruction problem in… (More)
Is this relevant?
Highly Cited
1985
Highly Cited
1985
The Adaptive Least Squares Correlation is a very potent and flexible technique for all kinds of data matching problems. Here its… (More)
  • figure 1
Is this relevant?
Highly Cited
1982
Highly Cited
1982
It has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values… (More)
  • table IV
  • table VIII
  • table XVII
  • figure 2
  • figure 1
Is this relevant?