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Equivalence of MSE and MaxEnt as objective function of PCA
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Abstract: Compare to MSE as PCA objective function to minimize, MaxEnt can at least achieve the same performance. In this paper, the authors proved that the ...
Equivalence of MSE and MaxEnt as objective function of PCA
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Abstract: Compare to MSE as PCA objective function to minimize,. MaxEnt can at least achieve the same performance. In this.
Equivalence of MSE and MaxEnt as objective function of PCA
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由 HF Li 著作2012 — Abstract: Compare to MSE as PCA objective function to minimize, MaxEnt can at least achieve the same performance. In this paper, the authors proved that the ...
Equivalence of MSE and MaxEnt as objective function of PCA.
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Bibliographic details on Equivalence of MSE and MaxEnt as objective function of PCA.
Hong-Bao Liu
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Haifeng Li, Hong-Bao Liu, Ning-Hua Ma: Equivalence of MSE and MaxEnt as objective function of PCA. ICMLC 2012: 152-156.
Principal component analysis based on non-parametric ...
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2024年11月21日 — Equivalence of MSE and MaxEnt as objective function of PCA. Conference Paper. Jul 2012. Hai-Feng Li · Hong-Bao Liu · Ning-Hua Ma. Compare to MSE ...
17632 PDFs | Review articles in MAXENT
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Equivalence of MSE and MaxEnt as objective function of PCA. Conference Paper ... Compare to MSE as PCA objective function to minimize, MaxEnt can at least achieve ...
Kernel Principal Components Are Maximum Entropy ...
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由 ARC Paiva 著作被引用 14 次 — We prove that Kernel PCA provides optimum entropy projections in the input space when the Gaussian kernel is used for the mapping and a sam- ple estimate of ...
A Unifying Information-Theoretic Framework for ...
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由 TEWON LEE 著作2000被引用 612 次 — We show that negentropy maximization also has equivalent properties, and therefore, all three approaches yield the same learning rule for a fixed nonlinearity.
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Mean-field methods and algorithmic perspectives for high- ...
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The constructionist hypothesis breaks down when confronted with the twin difficulties of scale and complexity. The behavior of large and complex.