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Linear classifier
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#	Item
251	Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation Yuan Shi U. of Southern California, Los Angeles, CA[removed]USA Fei Sha Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:12 Learning Unsupervised learning Supervised learning Statistical classification Domain Semi-supervised learning Support vector machine Linear classifier Machine learning Artificial intelligence Statistics
252	Margins, Kernels and Non-linear Smoothed Perceptrons Aaditya Ramdas Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA[removed]USA ARAMDAS @ CS . CMU . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Mathematics Mathematical sciences Analysis Perceptron Margin classifier Hahn–Banach theorem
253	1. Introduction & Decision Rules University of Cambridge Engineering Part IIB Module 4F10: Statistical Pattern Processing Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-10-08 10:00:09 Artificial intelligence Learning IBM ViaVoice Linear classifier Pattern recognition Supervised learning Discriminative model Decision rule Probability Machine learning Statistics Statistical classification
254	7. Single Layer Perceptron & Estimating Linear Classifiers University of Cambridge Engineering Part IIB 1 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-11-13 04:06:50 Perceptron Linear discriminant analysis Linear classifier Activation function Support vector machine Logistic regression Expectation–maximization algorithm Statistics Neural networks Statistical classification
255	PicSOM Experiments in TRECVID 2011 Mats Sj¨oberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja Department of Information and Computer Science Aalto University School of Science, Finland Abstract Our exper Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-03-05 09:28:37 Support vector machine Linear classifier Classifier Statistics Statistical classification Parts of speech
256	Confirmation of brand identity of a Trappist beer by mid-infrared spectroscopy coupled with multivariate data analysis Jasper Engel†, Lionel Blanchet†, Lutgarde M.C. Buydens†, and Gerard Downey‡ † Analytical C Add to Reading List Source URL: t-stor.teagasc.ie Language: English* - Date: 2013-11-07 10:35:47 Data analysis Spectroscopy Computational chemistry Chemometrics Trappist beer Linear classifier Rochefort Brewery Outlier Linear discriminant analysis Statistics Statistical classification Brewing
257	Visual Methods for Analyzing Probabilistic Classification Data Bilal Alsallakh, Allan Hanbury, Helwig Hauser, Silvia Miksch, and Andreas Rauber Fig. 1. Our visual analysis tools: (a) the confusion wheel shows sample-clas Add to Reading List Source URL: publik.tuwien.ac.at Language: English - Date: 2014-07-30 17:40:08 Classification rule Support vector machine Linear discriminant analysis Histogram Confusion matrix Multi-label classification Multiclass classification Classifier Binary classification Statistics Statistical classification Naive Bayes classifier
258	Sharing Features Between Objects and Their Attributes Sung Ju Hwang1 , Fei Sha2 and Kristen Grauman1 1 2 Department of Computer Science Computer Science Department Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:03 Artificial intelligence Vision Object-oriented programming One-shot learning Support vector machine Linear classifier Object recognition Classifier Attribute Statistics Statistical classification Computer vision
259	Scaling up semantic indexing Mats Sjöberg Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja CBIR research group (PicSOM) http://research.ics.tkk.fi/cbir/ Department of Information and Computer Science Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-01-10 13:32:45 Support vector machine Linear classifier Content-based image retrieval Classifier Statistics Statistical classification Artificial intelligence
260	VideoSense at TRECVID 2011 : Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking 2 Emilie Morvant1 , St´ephane Ayache1 , Amaury Habrard2 , Miriam Redi3 , Claudiu Tanase3 , Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-03-26 13:24:49 Linear classifier Binary classification Support vector machine Statistics Statistical classification Machine learning

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