標(biāo)題: Titlebook: Extreme Learning Machines 2013: Algorithms and Applications; Fuchen Sun,Kar-Ann Toh,Kezhi Mao Book 2014 Springer International Publishing [打印本頁] 作者: DEIGN 時(shí)間: 2025-3-21 20:09
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書目名稱Extreme Learning Machines 2013: Algorithms and Applications讀者反饋
書目名稱Extreme Learning Machines 2013: Algorithms and Applications讀者反饋學(xué)科排名
作者: 創(chuàng)作 時(shí)間: 2025-3-21 20:28 作者: Intact 時(shí)間: 2025-3-22 03:23 作者: Cloudburst 時(shí)間: 2025-3-22 04:38 作者: 空中 時(shí)間: 2025-3-22 10:41 作者: Nomogram 時(shí)間: 2025-3-22 15:04
A Stock Decision Support System Based on ELM,ainty and noise, prediction is full of challenging and risk when it comes to stock markets. This chapter combines extreme learning machine (ELM) and the Oscillation box theory together to construct a stock decision support system, which can help people make decisions on stock trading through suggest作者: Nomogram 時(shí)間: 2025-3-22 17:49
Robust Face Detection Using Multi-Block Local Gradient Patterns and Extreme Learning Machine,res in the way similar to local gradient patterns (LGP) however, the gradient of pixels in LGP was replaced by the counterparts of square image areas in MB-LGP. We have proved that the MB-LGP has most of the advantages of LGP and moreover with a stronger discriminant power and better robustness agai作者: SLAY 時(shí)間: 2025-3-22 21:51 作者: follicular-unit 時(shí)間: 2025-3-23 01:58
ELM-Based Adaptive Live Migration Approach of Virtual Machines, machines is the core and key technique of virtualization fields, but the existing pre-copy live migration approach has the problems of low copy efficiency and long total migration time, so we propose an extreme learning machine (ELM) based adaptive live migration approach of virtual machines (ELMBA作者: Dysplasia 時(shí)間: 2025-3-23 09:28 作者: TOXIC 時(shí)間: 2025-3-23 10:05
Demographic Attributes Prediction Using Extreme Learning Machine,havior targeting. Although a variety of subjects are involved with demographic attributes prediction, e.g. there are requirements to recognize and predict demography from psychology, but the traditional approach is dynamic modeling on specified field and distinctive datasets. However, dynamic modeli作者: 馬籠頭 時(shí)間: 2025-3-23 15:48 作者: 亞當(dāng)心理陰影 時(shí)間: 2025-3-23 18:14 作者: cacophony 時(shí)間: 2025-3-24 00:56
Indoor Location Estimation Based on Local Magnetic Field via Hybrid Learning,measurements for a single location and the relative obvious difference in most of locations. Under this phenomenon, a hybrid learning method based on the local magnetic field measurements is proposed. (1) Kalman filter is firstly utilized to smooth the initial samples in order to obtain the stable d作者: Vsd168 時(shí)間: 2025-3-24 04:13
A Novel Scene Based Robust Video Watermarking Scheme in DWT Domain Using Extreme Learning Machine,n using a newly developed SLFN commonly known as Extreme Learning Machine (ELM). The embedding is carried out by using scene detection. The LL4 sub-band coefficients of frames constitute the dataset to train the ELM in millisecond time. The output of the ELM is used to embed a binary watermark in th作者: FLAT 時(shí)間: 2025-3-24 06:31
Zentrale Ergebnisse und Ausblick, of celestial bodies but with the environmental influences such as atmospheric pressure, wind, rainfall and ice. The harmonic analysis method is used to represent the influences of celestial bodies, while the SDW-ELM is used to represent the influences of meteorological factors and other unmodeled f作者: Visual-Acuity 時(shí)間: 2025-3-24 11:55
Jan-Hendrik Passoth,Werner Rammertsolid (SS) and total organic carbon (TOC) selected from the correlation analysis of the 23?monthly water variables were included, with 8?years (2001–2008) data for training and the most recent 3?years (2009–2011) for testing. The modeling results showed that the prediction and forecast (based on dat作者: 誓言 時(shí)間: 2025-3-24 18:48 作者: 周興旺 時(shí)間: 2025-3-24 20:19 作者: 法官 時(shí)間: 2025-3-25 01:24 作者: 爭(zhēng)論 時(shí)間: 2025-3-25 05:58
1867-4534 g, to promote research and discussions of “l(fā)earning without iterative tuning"..This book covers algorithms and applications of ELM. It gives readers a glance of the newest developments of ELM..978-3-319-35003-5978-3-319-04741-6Series ISSN 1867-4534 Series E-ISSN 1867-4542 作者: Panther 時(shí)間: 2025-3-25 09:42 作者: 輕彈 時(shí)間: 2025-3-25 12:44 作者: 從屬 時(shí)間: 2025-3-25 19:11
Freshwater Algal Bloom Prediction by Extreme Learning Machine in Macau Storage Reservoirs,solid (SS) and total organic carbon (TOC) selected from the correlation analysis of the 23?monthly water variables were included, with 8?years (2001–2008) data for training and the most recent 3?years (2009–2011) for testing. The modeling results showed that the prediction and forecast (based on dat作者: braggadocio 時(shí)間: 2025-3-25 23:32
ELM-Based Adaptive Live Migration Approach of Virtual Machines,es a weight-based measurement method of writable working set, which can accurately measure the writable working set, so that it can reduce the amount of dirty memory page transmission, meanwhile it uses a memory compression algorithm to compress memory pages to be transmitted, and thus reduces the d作者: 牽連 時(shí)間: 2025-3-26 00:50
Demographic Attributes Prediction Using Extreme Learning Machine,latively independent data from complicated original dataset. In the next step, the extracted data goes through different paths based on their types. And at the last step, all the data will be transformed into a demographic attributes matrix. To fulfill prediction, the demographic attributes matrix i作者: periodontitis 時(shí)間: 2025-3-26 04:51
A Novel Scene Based Robust Video Watermarking Scheme in DWT Domain Using Extreme Learning Machine,hat the proposed watermarking scheme produces best results due to optimized embedding facilitated by fast training of the ELM. The proposed scheme is found to be suitable for developing real time video watermarking applications due to its low time complexity.作者: 表示向下 時(shí)間: 2025-3-26 08:38
Extreme Learning Machines 2013: Algorithms and Applications作者: 蚊帳 時(shí)間: 2025-3-26 14:37
Die Wirklichkeit des Menschen im Unternehmens sensitivity per attribute. The results show a strong consistency for classifiers with different random input weights. In order to present the results obtained in an intuitive way, two forms of representation are proposed and contrasted against each other. The relevance of both attributes and class作者: 合同 時(shí)間: 2025-3-26 16:55
Jennifer Leger,Esther Bollh?feron, data clustering etc. As the process of NMF needs huge computation cost, especially when the dimensional of data is large. Thus a ELM feature mapping based NMF is proposed [.], which combined Extreme Learning Machine (ELM) feature mapping with NMF (EFM NMF), can reduce the computational of NMF. H作者: 保留 時(shí)間: 2025-3-26 23:50 作者: 無孔 時(shí)間: 2025-3-27 02:48 作者: tariff 時(shí)間: 2025-3-27 05:39
Untersuchungsmodell und Hypothesen,the complex gene expression data accurately still remains as a major problem. In this chapter, an improved Regularized Extreme Learning Machine (RELM) method is proposed for gene expression data classification. The new training algorithm, called COW-RELM, is based on weight optimization and Cholesky作者: 勉勵(lì) 時(shí)間: 2025-3-27 09:50
Zusammenfassende Bewertung der Untersuchung,ainty and noise, prediction is full of challenging and risk when it comes to stock markets. This chapter combines extreme learning machine (ELM) and the Oscillation box theory together to construct a stock decision support system, which can help people make decisions on stock trading through suggest作者: Generalize 時(shí)間: 2025-3-27 13:48
https://doi.org/10.1007/978-3-658-30127-9res in the way similar to local gradient patterns (LGP) however, the gradient of pixels in LGP was replaced by the counterparts of square image areas in MB-LGP. We have proved that the MB-LGP has most of the advantages of LGP and moreover with a stronger discriminant power and better robustness agai作者: 內(nèi)疚 時(shí)間: 2025-3-27 18:00 作者: Monolithic 時(shí)間: 2025-3-28 00:53
Ingo Schulz-Schaeffer,Simon Egbert machines is the core and key technique of virtualization fields, but the existing pre-copy live migration approach has the problems of low copy efficiency and long total migration time, so we propose an extreme learning machine (ELM) based adaptive live migration approach of virtual machines (ELMBA作者: facilitate 時(shí)間: 2025-3-28 05:09
Strategisches Innovationsmanagementrtant component of retinal disease screening protocols. Some vessel parameters are potential biomarkers for the diagnosis of several diseases. Specifically, the arterio-venular ratio (AVR) has been proposed as a biomarker for Diabetic retinopathy and other diseases. Classification of retinal vessel 作者: output 時(shí)間: 2025-3-28 06:58
https://doi.org/10.1007/978-3-658-09159-0havior targeting. Although a variety of subjects are involved with demographic attributes prediction, e.g. there are requirements to recognize and predict demography from psychology, but the traditional approach is dynamic modeling on specified field and distinctive datasets. However, dynamic modeli作者: Heterodoxy 時(shí)間: 2025-3-28 12:00
https://doi.org/10.1007/978-3-8349-3799-5. This chapter addresses the application of ELM to the remotely sensed hyperspectral image classification. In this chapter, the proposed hyperspectral image classification method consists of three steps: First, a semi-supervised feature extract algorithm is used for dimensionality reduction; Second,作者: 芭蕾舞女演員 時(shí)間: 2025-3-28 17:38 作者: UNT 時(shí)間: 2025-3-28 21:11 作者: anagen 時(shí)間: 2025-3-29 01:16 作者: Presbyopia 時(shí)間: 2025-3-29 03:50 作者: 引起 時(shí)間: 2025-3-29 08:28 作者: Notorious 時(shí)間: 2025-3-29 14:19 作者: nitroglycerin 時(shí)間: 2025-3-29 17:10 作者: Instrumental 時(shí)間: 2025-3-29 20:23
https://doi.org/10.1007/978-3-319-04741-6Computational Intelligence; Extreme Learning Machines; Kernel Based Algorithms; Real-Time Learning/Reas作者: patriarch 時(shí)間: 2025-3-30 00:28
978-3-319-35003-5Springer International Publishing Switzerland 2014作者: 圣歌 時(shí)間: 2025-3-30 07:38 作者: 冷淡一切 時(shí)間: 2025-3-30 10:44
Jennifer Leger,Esther Bollh?fermapping based graph regulated NMF (EFM GNMF), which combines ELM feature mapping with Graph Regularized Nonnegative Matrix Factorization (GNMF). Experiments on the COIL20 image library, the CMU PIE face database and TDT2 corpus show the efficiency of the proposed method.作者: 輪流 時(shí)間: 2025-3-30 15:32 作者: IRATE 時(shí)間: 2025-3-30 19:30
https://doi.org/10.1007/978-3-8350-9488-8elections by using K-nearest neighbor (KNN) algorithm. A series of experiments and comparisons with other five methods were implemented to validate the feasibility and superiority of this technique for improving the positioning accuracy.作者: 放大 時(shí)間: 2025-3-30 21:11
Efficient Data Representation Combining with ELM and GNMF,mapping based graph regulated NMF (EFM GNMF), which combines ELM feature mapping with Graph Regularized Nonnegative Matrix Factorization (GNMF). Experiments on the COIL20 image library, the CMU PIE face database and TDT2 corpus show the efficiency of the proposed method.作者: filial 時(shí)間: 2025-3-31 03:32
,An Improved Weight Optimization and Cholesky Decomposition Based Regularized?Extreme Learning Machihe experiments of COW-RELM algorithm have been conducted on the Breast, Leukemia, Colon, Heart and other gene expression data. The results are thus presented to show the excellent performance and effectiveness of the classification accuracy.
