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Supervised learning
Results: 1557

#	Item
631	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
632	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
633	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
634	LNCS[removed]Group-Induced Vector Spaces Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:56:50 Learning Pattern recognition Unsupervised learning Supervised learning Generative model Hidden Markov model K-means clustering Mixture model Statistical classification Machine learning Statistics Computational statistics
635	A DSP Implementation of an AOM and its Application to Defects Detection in Textile Material Ibarra-Picó, F.; Garcia-Crespi, F.; Cuenca-Asensi, S.A.; Morales-Benavente, J.L.; Lorenzo-Quintanilla J.J. Departamento de Tecn Add to Reading List Source URL: wscg.zcu.cz Language: English - Date: 2001-01-10 11:54:40 Abstract algebra Linear algebra Vectors Euclidean vector Vector calculus Vector space Vector Supervised learning Statistical classification Algebra Mathematics Machine learning
636	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
637	Structured Forests for Fast Edge Detection Piotr Doll´ar Microsoft Research C. Lawrence Zitnick Microsoft Research Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-10-15 22:53:41 Artificial intelligence Imaging Vision Segmentation Edge detection Pedestrian detection Supervised learning Object recognition Decision tree learning Computer vision Image processing Machine learning
638	Using Deep Learning to Predict Customer Churn in a Mobile Telecommunication Network Federico Castanedo wiseathena.com CA[removed]USA Add to Reading List Source URL: www.wiseathena.com Language: English - Date: 2014-12-10 03:45:36 Statistics Science Machine learning Supervised learning Neural networks Churn rate Prepaid mobile phone Data warehouse Customer attrition Business intelligence Computational neuroscience Technology
639	A Boosting Algorithm for Learning Bipartite Ranking Functions with Partially Labeled Data Massih-Reza Amini, Tuong-Vinh Truong Cyril Goutte Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-02-27 04:55:31 Science Semi-supervised learning Supervised learning Co-training Pattern recognition Automatic summarization Learning to rank Margin classifier Precision and recall Machine learning Statistics Artificial intelligence
640	SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification Michael Gutkin1, Ron Shamir1, Gideon Dror2 1 Blavatnik school of Computer Science, Tel Aviv University, Tel Aviv, Israel, 2 School Add to Reading List Source URL: www2.mta.ac.il Language: English* - Date: 2010-08-18 18:53:13 Support vector machine Naive Bayes classifier Classifier Binary classification Supervised learning Feature selection Linear discriminant analysis Cross-validation Random subspace method Statistics Machine learning Statistical classification

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