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Classification in machine learning
Results: 421

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191	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
192	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Investigating Hidden Markov Models’ Capabilities in 2D Shape Classification Manuele Bicego, Student Member, IEEE, and Vittorio Murino, Senior Member, IEE Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:47:24 Machine learning User interface techniques Bioinformatics Computer vision Hidden Markov model Speech recognition Baum–Welch algorithm Gesture recognition Markov chain Statistics Markov models Artificial intelligence
193	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
194	Integrating Distance Metrics Learned from Multiple Experts and its Application in Patient Similarity Assessment Add to Reading List Source URL: www.research.ibm.com Language: English - Date: 2012-08-13 11:38:19 Singular value decomposition Statistical classification Machine learning Data analysis Principal component analysis Linear discriminant analysis Eigenvalues and eigenvectors Cohort Statistics Algebra Multivariate statistics
195	International Journal of Computer Networks & Communications (IJCNC) Vol.4, No.3, May[removed]AUTOMATED INFERENCE SYSTEM FOR END-TOEND DIAGNOSIS OF NETWORK PERFORMANCE ISSUES IN CLIENT-TERMINAL DEVICES Chathuranga Widanapat Add to Reading List Source URL: airccse.org Language: English - Date: 2012-05-31 07:36:07 Binary classification Transmission Control Protocol Support vector machine Naive Bayes classifier Packet loss Statistics Statistical classification Machine learning
196	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
197	Chap.9 Tree-based methods [Book, Sect[removed]Classification and regression trees (CART) In the American Medical Association’s Encyclopedia of Medicine, there are many tree-structured flow charts for patient diagnosi Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-11-17 19:31:32 Knowledge representation Tree Decision tree learning Regression analysis Statistics Machine learning Artificial intelligence
198	Data Centering in Feature Space Marina Meil˘a Department of Statistics University of Washington Seattle, WA[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2003-01-02 17:37:31 Linear algebra Support vector machine Kernel methods Kernel trick String kernel Linear classifier Kernel Least squares support vector machine Statistics Machine learning Statistical classification
199	Ch.5 Classification and Clustering In machine learning, there are two main types of learning problems, supervised and unsupervised learning. An analogy for the former is a French class where the teacher demonstrates the Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-12 19:53:02 Data mining Geostatistics Hierarchical clustering Unsupervised learning K-means clustering Consensus clustering Fuzzy clustering Statistics Machine learning Cluster analysis
200	A Segment-based Approach To Clustering Multi-Topic Documents Andrea Tagarelli ∗ George Karypis † Add to Reading List Source URL: www.dtc.umn.edu Language: English - Date: 2012-08-16 12:29:04 Machine learning Cluster analysis Data analysis Geostatistics Document clustering Fuzzy clustering K-means clustering Document classification Determining the number of clusters in a data set Statistics Computational statistics Data mining

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