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Classification in machine learning
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91	Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS Add to Reading List Source URL: laboratoirehubertcurien.fr Language: English - Date: 2011-11-16 02:20:36 Learning Machine learning Ensemble learning Support vector machine AdaBoost Levenshtein distance Linear classifier Statistics Statistical classification Artificial intelligence
92	Journal of Machine Learning Research Submitted 4/03; Revised 8/03; Published 1/04 In Defense of One-Vs-All Classification Ryan Rifkin Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2004-08-31 14:07:45
93	Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-08-26 07:00:39 Stochastic optimization Statistical classification CMA-ES Computational statistics Cross-validation Support vector machine Mathematical optimization Supervised learning Stability Statistics Machine learning Evolutionary algorithms
94	Hindawi Publishing Corporation Advances in Multimedia Volume 2013, Article ID, 22 pages http://dx.doi.orgResearch Article Add to Reading List Source URL: www.demcare.eu Language: English - Date: 2014-02-13 07:43:51 Co-training Support vector machine Supervised learning Margin classifier Semi-supervised learning Naive Bayes classifier Classifier Linear discriminant analysis Multiclass classification Statistics Statistical classification Machine learning
95	Lughofer, E., Smith, J., Tahir, M., Caleb-Solly, P., Eitzinger, C., Sannen, D. and van Brussels, HOn human-machine interaction during online image classifier training. In: Proceedings of the International Confer Add to Reading List Source URL: eprints.uwe.ac.uk Language: English - Date: 2013-08-03 13:23:20 Statistical classification Learning classifier system Classifier Supervised learning Boosting methods for object categorization Random subspace method Machine learning Statistics Artificial intelligence
96	Visualisation of Uncertainty in a Geodemographic Classifier Aidan Slingsby1 , Nicholas J. Tate2 , and Peter F. Fisher2 1 giCentre, Department of Computer Science, City University London, Northampton Add to Reading List Source URL: cognitivegiscience.psu.edu Language: English - Date: 2014-07-25 11:57:48 Knowledge Consumer behaviour Geodemography Human geography Fuzzy logic Machine learning Fuzzy set Statistical classification Uncertainty Science Statistics Demography
97	Supervised Machine Learning for Classifying Text with Ruby 1 Introduction 1.1 What are Classifiers In the world of text, classifiers or supervised machine learning is a method for assigning a class or category to textua Add to Reading List Source URL: pauldix.blogs.com Language: English - Date: 2008-08-28 10:03:30 Statistical classification Bayesian statistics Linear classifier Naive Bayes classifier K-nearest neighbor algorithm Document classification Support vector machine Perceptron Classifier Statistics Machine learning Artificial intelligence
98	Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2 Add to Reading List Source URL: vision.ucsd.edu Language: English Computational statistics Machine learning Face recognition AdaBoost Parts of speech Classifier Boosting Statistical classification Supervised learning Artificial intelligence Ensemble learning Learning
99	Multiple Kernel Learning for Vehicle Detection in Wide Area Motion Imagery Pengpeng Liang1 Gregory Teodoro1 Add to Reading List Source URL: www.dabi.temple.edu Language: English - Date: 2012-05-12 23:52:42 Statistical classification Ensemble learning AdaBoost Support vector machine Perceptron Boosting Receiver operating characteristic Classifier Histogram of oriented gradients Machine learning Statistics Artificial intelligence
100	In Proc. IPMI’03: The 18th International Conference on Information Processing in Medical Imaging, LNCS 2732:, 2003. Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies P Add to Reading List Source URL: www.nmr.mgh.harvard.edu Language: English - Date: 2006-08-18 21:24:16 Statistical inference Machine learning Design of experiments Resampling Statistical hypothesis testing F-test Cross-validation P-value Null hypothesis Statistics Hypothesis testing Statistical tests

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