Rmsvm.com

Rmsvm.com has server used 34.206.39.153 (United States) ping response time Hosted in Amazon Technologies Inc. Register Domain Names at PDR Ltd. d/b/a PublicDomainRegistry.com. This domain has been created 5 years, 291 days ago, remaining 74 days. You can check the 13 Websites and blacklist ip address on this server

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Registrar WHOIS Server: whois.PublicDomainRegistry.com

Registrar URL: http://www.publicdomainregistry.com     See All 294,948+

Creation Date: 2015-12-11 5 years, 291 days

Updated Date: 2020-12-21 280 days ago

Expiry Date: 2021-12-11 74 days left     See All

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Registrar: PDR Ltd. d/b/a PublicDomainRegistry.com

Abuse Email: [email protected]

Abuse Phone: +1.2013775952

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NetName: AT-88-Z

Organization: Amazon Technologies Inc.     See All 287,121+

Provider URL: Amazonaws.com

Hostname: ec2-34-206-39-153.compute-1.amazonaws.com

IP Server: 34.206.39.153 Reg: 2016-09-12, Updated: 2016-09-12

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Country: United States

Address: 410 Terry Ave N., Seattle, WA 98109, US

Latitude: 39.048100

Longitude: -77.472801

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  • SOFTTECH-U2.SECUREHOSTDNS.COM

Abuse Email: [email protected]

Abuse Phone: +1-206-266-4064

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At least 13 Sites on this server

Port Scanner (IP: 34.206.39.153)

RMV Customer Contact Us Mass.gov

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Reinforced Multicategory Support Vector Machines

  • A computational algorithm of the RMSVM is given in Section 3
  • In Sec-tion 4, we use both simulated examples and an application to lung cancer Microarray data to illustrate performance of the proposed RMSVMs with different choices of the combin-ing weight parameter
  • Some discussion and remarks are given in Section 5, followed by

Pages.stat.wisc.edu   DA: 19 PA: 29 MOZ Rank: 57

A New Algorithm For Computation Of A Regularization

  • E-mail address: [email protected]
  • School of Statistics, Data Mining Center, Renmin University of China, Center for Applied Statistics, Beijing 100872, China
  • Author to whom correspondence may be addressed
  • E‐mail: [email protected]
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ЭКОЛОГИЧНЫЙ ПИКАП, МАРК МЭНСОН "МУЖСКИЕ …

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Ultrasonographic Feature Selection And Pattern

  • Share this article Share with email Share with twitter Share with linkedin Share with facebook
  • A rough margin based support vector machine (RMSVM) classifier was proposed to improve the accuracy of ultrasound diagnoses for cervical lymph nodes
  • Thirty-six features belonging to 10 kinds of ultrasonographic characteristics were

Europepmc.org   DA: 13 PA: 22 MOZ Rank: 47

Websites Hosted On IP: 202.131.107.236 (4 Websites)

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A Rough Margin Based Support Vector Machine Information

By introducing the rough set theory into the support vector machine (SVM), a rough margin based SVM (RMSVM) is proposed to deal with the overfitting problem due to …

Dl.acm.org   DA: 10 PA: 30 MOZ Rank: 54

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Ultrasonographic Feature Selection And Pattern

  • A rough margin based support vector machine (RMSVM) classifier was proposed to improve the accuracy of ultrasound diagnoses for cervical lymph nodes
  • Thirty-six features belonging to 10 kinds of ultrasonographic characteristics were extracted for each of 110 lymph nodes in ultrasonograms.

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Websites Hosted On IP: 103.14.121.240 (10 Websites)

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(PDF) Rough Margin-Based Linear V Support Vector Machine.

  • Similar to the classical SVM, the RMSVM searches for the separating hyper-plane that maximizes the rough margin, defined by the lower and upper margin
  • In this way, more data points are adaptively

Researchgate.net   DA: 20 PA: 50 MOZ Rank: 90

A Rough Margin Based Support Vector Machine

  • By introducing the rough set theory into the support vector machine (SVM), a rough margin based SVM (RMSVM) is proposed to deal with the overfitting problem due to outliers
  • Similar to the classical SVM, the RMSVM searches for the separating hyper-plane that maximizes the rough margin, defined by the lower and upper margin.

Sciencedirect.com   DA: 21 PA: 42 MOZ Rank: 84

HandProj/Tracker.cpp At Master · Gengshan-y/handProj · GitHub

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CiteSeerX — Rough Margin Based Core Vector Machine

  • CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract
  • 1 The recently proposed rough margin based support vector machine (RMSVM) could tackle the overfitting problem due to outliers effectively with the help of rough margins
  • However, the standard solvers for them are time consuming and not feasible for large datasets.

Citeseerx.ist.psu.edu   DA: 21 PA: 16 MOZ Rank: 60

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A New Algorithm For Computation Of A Regularization

  • The standard L2-norm support vector machine (SVM) is a widely used tool for classification problems
  • The L1-norm SVM is a variant of the standard L2-norm SVM, that constrains the L1-norm of the

Researchgate.net   DA: 20 PA: 50 MOZ Rank: 95

Rough Margin Based Core Vector Machine

  • 1 The recently proposed rough margin based support vector machine (RMSVM) could tackle the overfitting problem due to outliers effectively with the help of rough margins
  • However, the standard solvers for them are time consuming and not feasible for large datasets
  • On the other hand, the core vector machine (CVM) is an optimization

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CiteSeerX — Robust Truncated-hinge-loss Support Vector

  • CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract
  • With its elegant margin theory and accurate classification perfor-mance, the Support Vector Machine (SVM) has been widely applied in both machine learning and statistics
  • Despite its success and popularity, it still has some drawbacks in certain situations.

Citeseerx.ist.psu.edu   DA: 21 PA: 16 MOZ Rank: 64

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Domain Expiry Date Updated

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Rmsvm.com 74 days leftPDR Ltd. d/b/a PublicDomainRegistry.comAmazon Technologies Inc.
Roottie.com 87 days leftRegister.ca Inc.Amazon Technologies Inc.
Newlenoxrebels.com 147 days leftTLDS L.L.C. d/b/a SRSPlusAmazon Technologies Inc.
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