Learning log

Results: 252



#Item
41Artificial intelligence / Neural networks / Computational statistics / Perceptron / Segmentation / Active appearance model / Supervised learning / Conditional random field / Shape context / Machine learning / Computer vision / Statistics

Structure-Perceptron Learning of a Hierarchical Log-Linear Model Long (Leo) Zhu Department of Statistics University of California, Los Angeles Yuanhao Chen

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Source URL: people.csail.mit.edu

Language: English - Date: 2008-04-06 19:12:13
42

Step 1 Choose a book and read it. Step 2 Write the following information in your learning log: Book Title

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Source URL: www.lauracandler.com

- Date: 2010-09-26 11:58:01
    43Artificial intelligence / Supervised learning / Regularization / Support vector machine / Pattern recognition / Tikhonov regularization / Semi-supervised learning / Machine learning / Statistics / Learning

    Feature Noising for Log-linear Structured Prediction Sida I. Wang∗, Mengqiu Wang∗, Stefan Wager† , Percy Liang, Christopher D. Manning Department of Computer Science, † Department of Statistics Stanford Universit

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    Source URL: cs.stanford.edu

    Language: English
    44

    Learning Logs Learning logs or journals let pupils keep notes of their thoughts and feelings about their work. A log need be no more than a ring binder or jotter. Pupils should have some time in class to complete it. Th

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    Source URL: www.primaryresources.co.uk

    Language: English - Date: 2010-01-22 02:40:43
      45Alt-Tab

      Viewing Assessment Applications through the Faculty Centre Log on to the Griffith Portal Navigate: Learning and teaching > Faculty centre The ‘My Schedule’ tab will list those courses which have you listed as an ‘I

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      Source URL: intranet.secure.griffith.edu.au

      Language: English - Date: 2013-07-31 00:16:28
        46Artificial intelligence / Ensemble learning / AdaBoost / Support vector machine / Boosting / Multiple-instance learning / Naive Bayes classifier / Supervised learning / Classifier / Statistics / Machine learning / Statistical classification

        MICCLLR: Multiple-Instance Learning using Class Conditional Log Likelihood Ratio Yasser EL-Manzalawy1,2 and Vasant Honavar1 1 Department of Computer Science

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        Source URL: www.cs.iastate.edu

        Language: English - Date: 2009-07-11 21:20:08
        47Information technology management / System administration / Internet protocols / Internet standards / Syslog / Distributed File System / Computing / Network management / System software

        Siemens Relies on EventSentry for Dependable Log, Network, and Service Monitoring “The software’s learning curve enabled us to save a lot of time as we were able to quickly implement the centralized datacenter monito

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        Source URL: www.eventsentry.com

        Language: English - Date: 2015-03-31 13:49:11
        48Educational psychology / Applied linguistics / Choir / Vocal music / E-learning / Guided reading / Education / Linguistics / Reading

        Sample PLT Log Level F – Narrative Poetry Student(s) Name(s)/ ARCOTS Code: Level F Developmental Domain Progression of Reading Development

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        Source URL: education.unimelb.edu.au

        Language: English - Date: 2013-07-09 00:04:15
        49

        Accessing Workplace Health and Safety On-Line Training Modules[removed]Log into Learning at Griffith (this is an intranet site and you will need to log in via the Griffith Single Sign-On). Your screen should look like the

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        Source URL: intranet.secure.griffith.edu.au

        - Date: 2014-06-29 17:18:52
          50Satellite television / Television in Malaysia / Malaysia / Astro / Astro All Asia Networks plc / MSC Malaysia

          2015 PRODUCT AND SYSTEMS CLASSROOM TRAINING SCHEDULE 1ST QUARTER 2015 For best results - log into the Motorola Solutions Learning Management System (LMS) before clicking on the links below: learning.motorolasolutions.co

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          Source URL: www.motorolasolutions.com

          Language: English - Date: 2015-03-31 15:21:42
          UPDATE