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
標(biāo)簽： Segmentation Supervised Fields Markov
上傳時(shí)間： 2015-12-01
上傳用戶：kytqcool
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 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.
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
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 開發(fā)的基于weka的半指導(dǎo)學(xué)習(xí)(semi Supervised learning)的分類器
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)
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
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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