Classification in machine learning

Results: 421



#Item
291Distribution / Functional analysis / Mathematical notation / Spectral theory of ordinary differential equations / Symbol / Mathematical analysis / Generalized functions / Mathematics

Journal of Machine Learning Research[removed]2734 Submitted 4/11; Revised 2/12; Published 9/12 Coherence Functions with Applications in Large-Margin Classification Methods

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Source URL: www.jmlr.org

Language: English - Date: 2012-09-25 19:52:00
292Linear algebra / Statistical classification / Support vector machine / Abstract algebra / Functional analysis / Kernel trick / Kernel / Linux kernel / Vector space / Algebra / Mathematics / Machine learning

Kernel Methods aren’t Dead Yet: Using Kernel Methods on Large Datasets BY EDWARD RAFF What is this about? —  Kernel Methods aka the “kernel trick”, most used in

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Source URL: www.edwardraff.com

Language: English - Date: 2014-09-10 22:55:49
293Secrecy / Machine learning / Classified information / Information sensitivity / Restricted Data / Statistical classification / Data security / Classified information in the United States / Information Security Oversight Office / United States government secrecy / Security / National security

PREFACE TO THE FIRST EDITION Information is classified, that is, given a security classification, by the U.S. Government to identify that special information whose unauthorized disclosure could damage the national securi

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Source URL: fas.org

Language: English - Date: 2014-05-06 15:19:28
294Data analysis / Data mining / K-nearest neighbor algorithm / Naive Bayes classifier / Support vector machine / Artificial neural network / Statistics / Statistical classification / Machine learning

FRIENDLY REMINDERS FOR the DAILY MEAL PROGRAM:  Sign yourself in on the attendance sheet daily. Make a meal and taxi

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Source URL: arlingtonva.s3.amazonaws.com

Language: English - Date: 2014-10-30 16:16:50
295Artificial intelligence / Pattern recognition / K-means clustering / Semi-supervised learning / Statistical classification / Single-linkage clustering / Label / Machine learning / Computational statistics / Statistics

Label the many with a few: Semi-automatic medical image modality discovery in a large image collection Szil´ard Vajda, Daekeun You, Sameer K. Antani, George R. Thoma Lister Hill National Center for Biomedical Communicat

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Source URL: lhncbc.nlm.nih.gov

Language: English - Date: 2015-01-09 12:42:50
296Bayesian statistics / Naive Bayes classifier / Naive / Bag of words model in computer vision / Supervised learning / Statistics / Machine learning / Statistical classification

Institut für Informatik und Wirtschaftsinformatik Lehrstuhl für Wirtschaftsinformatik V Data Mining – HWS 2014

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Source URL: dws.informatik.uni-mannheim.de

Language: English - Date: 2014-09-29 11:42:33
297Classified information / Information sensitivity / Machine learning / Declassification / Statistical classification / Classified information in the United States / Sensitive Compartmented Information / National security / Information / Security

Classification Management Training Aid Overall Classification Executive Order 13526, “Classified National Security Information” Sec.1.6.(a) states: At the time of original classification, the following shall be indi

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Source URL: www.archives.gov

Language: English - Date: 2014-12-09 09:09:21
298Natural language processing / Machine learning / Grammar / Nomenclature / Word-sense disambiguation / Named-entity recognition / Information extraction / Unsupervised learning / Proper noun / Linguistics / Science / Computational linguistics

A survey of named entity recognition and classification David Nadeau, Satoshi Sekine National Research Council Canada / New York University Introduction The term “Named Entity”, now widely used in Natural Language Pr

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Source URL: nlp.cs.nyu.edu

Language: English - Date: 2008-01-30 13:52:33
299Imaging / Vision / Machine learning / Segmentation / Active contour model / Encoding / Statistical classification / Feature / Region of interest / Computer vision / Image processing / Artificial intelligence

IBM Research Australia at LifeCLEF2014: Plant Identification Task Qiang Chen, Mani Abedini, Rahil Garnavi, Xi Liang IBM Research Australia Abstract. In this paper, we present the system and learning strategies

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-24 10:52:12
300Support vector machine / Cross-validation / Flower / Cluster analysis / Statistics / Machine learning / Statistical classification

Plant species recognition using Bag-Of-Word with SVM classifier in the context of the LifeCLEF challenge Issolah Mohamed, Lingrand Diane, and Precioso Fr´ed´eric Univ. Nice Sophia Antipolis Laboratory I3S, UMR 7271 UNS

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-25 04:37:42
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