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supervised

Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.

標(biāo)簽： Description supervised algorithm S-ISOMAP

上傳時(shí)間： 2015-04-10

上傳用戶：wfeel
有監(jiān)督自組織映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用語(yǔ)多變量數(shù)據(jù)的回歸分析

有監(jiān)督自組織映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用語(yǔ)多變量數(shù)據(jù)的回歸分析

標(biāo)簽： self-organising supervised algorithm partial

上傳時(shí)間： 2015-10-22

上傳用戶：hfmm633
supervised Image Segmentation Using Markov Random Fields

supervised Image Segmentation Using Markov Random Fields

標(biāo)簽： Segmentation supervised Fields Markov

上傳時(shí)間： 2015-12-01

上傳用戶：kytqcool
semi-supervised MCMC classification

semi-supervised MCMC classification

標(biāo)簽： semi-supervised classification MCMC

上傳時(shí)間： 2016-01-05

上傳用戶：頂?shù)弥?/p>
SpikeLM: A Second-Order supervised Learning Algorithm for Training Spiking Neural Networks Introduc

SpikeLM: A Second-Order supervised Learning Algorithm for Training Spiking Neural Networks Introduction Preliminaries SpikeLM algorithm Experimental validation Conclusions

標(biāo)簽： Second-Order supervised Algorithm Learning

上傳時(shí)間： 2014-01-13

上傳用戶：zhuimenghuadie
S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

標(biāo)簽： supervised algorithm S-ISOMAP manifold

上傳時(shí)間： 2014-01-11

上傳用戶：lacsx
2000 supervised and Unsupervised Pattern Recognition.rar

2000 supervised and Unsupervised Pattern Recognition.rar

標(biāo)簽： Unsupervised Recognition supervised Pattern

上傳時(shí)間： 2014-01-19

上傳用戶：13517191407
wekaUT是 university texas austin 開(kāi)發(fā)的基于weka的半指導(dǎo)學(xué)習(xí)(semi supervised learning)的分類(lèi)器

wekaUT是 university texas austin 開(kāi)發(fā)的基于weka的半指導(dǎo)學(xué)習(xí)(semi supervised learning)的分類(lèi)器

標(biāo)簽： university supervised learning wekaUT

上傳時(shí)間： 2017-05-05

上傳用戶：fredguo
Semi-supervised Discriminant Analysis (Manifold Regularization Way)

Semi-supervised Discriminant Analysis (Manifold Regularization Way)

標(biāo)簽： Semi-supervised Regularization Discriminant Analysis

上傳時(shí)間： 2014-11-29

上傳用戶：leixinzhuo
Gabor feature-based face recognition using supervised locality preserving projection

Gabor feature-based face recognition using supervised locality preserving projection

標(biāo)簽： feature-based recognition preserving projection

上傳時(shí)間： 2017-09-04

上傳用戶：古谷仁美

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supervised

Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

有監(jiān)督自組織映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用語(yǔ)多變量數(shù)據(jù)的回歸分析

supervised Image Segmentation Using Markov Random Fields

semi-supervised MCMC classification

SpikeLM: A Second-Order supervised Learning Algorithm for Training Spiking Neural Networks Introduc

S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

2000 supervised and Unsupervised Pattern Recognition.rar

wekaUT是 university texas austin 開(kāi)發(fā)的基于weka的半指導(dǎo)學(xué)習(xí)(semi supervised learning)的分類(lèi)器

Semi-supervised Discriminant Analysis (Manifold Regularization Way)

Gabor feature-based face recognition using supervised locality preserving projection