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Classifier
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#	Item
741	LCCS DESIGN CRITERIA THE BASIC PRINCIPLE OF LCCS A land cover class is defined by the combination of a set of independent diagnostic attributes, the so-called classifiers that are arranged to assure a high degree of mapa Add to Reading List Source URL: www.glcn.org Language: English - Date: 2008-07-08 08:55:37 Machine learning Science Classifier Unified Modeling Language Statistical classification Land cover Vegetation Forest Biology Systems ecology Parts of speech
742	Enabling Precision/Recall Preferences for Semi-supervised SVM Training Zeyi Wen Rui Zhang Add to Reading List Source URL: www.ruizhang.info Language: English - Date: 2014-10-01 05:02:59 Artificial intelligence Learning Information retrieval Support vector machine Precision and recall Gain Supervised learning Margin classifier Semi-supervised learning Statistics Machine learning Statistical classification
743	Ch.6 Feed-forward neural network models 6.6 Multi-layer perceptron classifier [Book, Sect[removed]The multi-layer perceptron (MLP) NN model can easily be modified for classification problems. If only 2 classes C1 and C2 , Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-24 18:43:08 Mathematics Perceptron Activation function Multilayer perceptron Softmax activation function Radial basis function Neuron Logistic function Posterior probability Neural networks Cybernetics Science
744	Meta-Modelling Semantics of UML 1 Chapter 1 KEYWORDS, ETC. Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2003-02-04 09:56:28 Software development Object Constraint Language Object Management Group Class diagram Semantics Package Classifier Class Object-oriented analysis and design Unified Modeling Language Software engineering Data modeling
745	iand-client-diagnostics-IB2COM.dvi Add to Reading List Source URL: titania.ctie.monash.edu.au Language: English - Date: 2011-11-24 20:10:50 Transmission Control Protocol Internet protocol suite Support vector machine Binary classification Classifier Boosting methods for object categorization Statistics Statistical classification Machine learning
746	Automatic Artifact Identification in Image Communication Using Watermarking and Classification Algorithms Shabnam Sodagari, G. Hossein Hajimirsadeghi, Alireza Nasiri Avanaki Control and Intelligent Processing Center of E Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2008-09-06 06:26:22 Linear classifier Support vector machine Naive Bayes classifier Supervised learning Pattern recognition Principal component analysis Margin classifier Random subspace method Statistics Statistical classification Machine learning
747	A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning Massih R. Amini Laboratoire d’Informatique de Paris 6 Universit´e Pierre et Marie Curie, Paris, France Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-02-27 04:55:33 Semi-supervised learning Supervised learning Support vector machine Bayes estimator Naive Bayes classifier Gaussian function Statistics Machine learning Statistical classification
748	Seite 1 von 19 Basic and Group Labels / Basis- und Gruppenkennungen The groups are classifier dependent / Die Gruppen sind Klassifikator abhängig APOSTROPHE Add to Reading List Source URL: www.rerecognition.com Language: English - Date: 2014-02-09 06:00:36 Sans-serif Serif Graphic design I with diaeresis Notation O with diaeresis Diaeresis Latin script Mathematical Alphanumeric Symbols Unicode blocks Typography Cyrillic characters in Unicode
749	Language Technology for Agile Social Media Science Simon Wibberley Jeremy Reffin David Weir Department of Informatics Department of Informatics Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-07-25 09:32:20 Real-time web Social media Text messaging Twitter Technology Statistical classification Classifier Link analysis Computational statistics Machine learning Parts of speech World Wide Web
750	Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn Guanyu Zhou Chansoo Lee Honglak Lee Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:44 Boltzmann machine Supervised learning Feature selection Pattern recognition Generative model Neural network Unsupervised learning Support vector machine Linear classifier Statistics Machine learning Artificial intelligence

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