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semi-Supervised

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(hù)：頂?shù)弥?/p>
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(hù)：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(hù)：leixinzhuo
2012年最新NIKO-SEMI產(chǎn)品選型表

2012年最新NIKO-SEMI 產(chǎn)品選型表。

標(biāo)簽： NIKO-SEMI 2012 產(chǎn)品選型

上傳時(shí)間： 2013-10-12

上傳用戶(hù)：lanhuaying
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(hù)：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(hù)：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(hù)：kytqcool
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(hù)：zhuimenghuadie
LM18245 16細(xì)分步進(jìn)驅(qū)動(dòng)程序 Microstep C program for National Semi LMD18245/PIC microstepping driver board.

LM18245 16細(xì)分步進(jìn)驅(qū)動(dòng)程序 Microstep C program for National Semi LMD18245/PIC microstepping driver board.

標(biāo)簽： 18245 microstepping Microstep National

上傳時(shí)間： 2013-12-30

上傳用戶(hù)：bjgaofei
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(hù)：lacsx

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semi-Supervised

semi-Supervised MCMC classification

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)

2012年最新NIKO-SEMI產(chǎn)品選型表

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

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

LM18245 16細(xì)分步進(jìn)驅(qū)動(dòng)程序 Microstep C program for National Semi LMD18245/PIC microstepping driver board.

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