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タグ: classifier [112 articles]

Recent papers classified by the tag classifier.
  • Named entity recognition through classifier combination
    (2003), pp. 168-171.
    by Radu Florian, Abe Ittycheriah, Hongyan Jing, Tong Zhang
    posted to classifier ensemble entity named ner recognition by vlachmore on 2007-10-04 18:55:04 as **
  • Verb Class Discovery from Rich Syntactic Data
    Computational Linguistics and Intelligent Text Processing (2008), pp. 16-27.
    by Lin Sun, Anna Korhonen, Yuval Krymolowski
    posted to classifier clustering frames gaussian semantic subcategorization verb by vlachmore on 2008-04-07 14:17:30 as read
  • Extracting semantic structure of web documents using content and visual information
    (2005), pp. 928-929.
    by Rupesh R Mehta, Pabitra Mitra, Harish Karnick
    posted to bayes classifier dom hierarchypage naive segmentation topic vips by thesis2007 on 2007-09-14 19:41:30 as **
  • Experiments with a featureless approach to pattern recognition
    Pattern Recogn. Lett., Vol. 18, No. 11-13. (1997), pp. 1159-1166.
    by Robert PW Duin, Dick de Ridder, David MJ Tax
    posted to classifier by tgyork on 2007-10-22 14:11:44 as * along with 2 people sdvillal drivard
  • A Tutorial on Support Vector Machines for Pattern Recognition
    Data Min. Knowl. Discov., Vol. 2, No. 2. (June 1998), pp. 121-167.
    by Christopher JC Burges
  • Hermite and Gabor transforms for noise reduction and handwriting classification in ancient manuscripts
    International Journal on Document Analysis and Recognition, Vol. 9, No. 2. (5 April 2007), pp. 101-122.
    by Véronique Eglin, Stéphane Bres, Carlos Rivero
    posted to preprocessing interlending image-processing historical classifier by tgyork on 2007-11-01 16:04:14 as *****
  • Combination of Structural Classifiers
    (June 1990), pp. 123-136.
    by TK Ho, JJ Hull, SN Srihari
    posted to classifier by tgyork on 2007-10-04 14:57:39 as *
  • Pattern Classification (2nd Edition)
    (21 November 2000)
    by Richard O Duda, Peter E Hart, David G Stork
  • The interaction between classification and reject performance for distance-based reject-option classifiers
    Pattern Recognition Letters, Vol. 27, No. 8. (June 2006), pp. 908-917.
    by Thomas C Landgrebe, David M Tax, Pavel Paclik, Robert P Duin
  • Named entity recognition through classifier combination
    (2003)
    posted to classifier by syoyo on 2006-08-02 12:30:23 as ** along with 1 person and 1 group bundschu generif_paper
  • Timbre recognition of single notes using an ARTMAP neural network
    Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on, Vol. 2 (1999), pp. 1009-1012 vol.2.
    posted to timbre supervise rob neural network classifier by stephen_barrass on 2008-05-04 23:58:11 as **
  • Visualization-based cancer microarray data classification analysis.
    Bioinformatics (22 June 2007)
    by Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan
    posted to cancer classifier microarray by shigepong on 2007-06-27 07:40:06 as **** along with 1 person cabbagezs
  • Logistic regression for disease classification using microarray data: model selection in a large p and small n case.
    Bioinformatics (31 May 2007)
    by J G G Liao, Khew-Voon V Chin
    posted to classifier microarray by shigepong on 2007-06-03 09:01:03 as ***** along with 2 people jyuh mayercd
  • Eigengene-based linear discriminant model for tumor classification using gene expression microarray data.
    Bioinformatics, Vol. 22, No. 21. (1 November 2006), pp. 2635-2642.
    by R Shen, D Ghosh, A Chinnaiyan, Z Meng
    posted to cancer classifier miroarray by shigepong on 2007-11-19 09:12:33 as ***** along with 1 person jfr
  • Classification based upon gene expression data: bias and precision of error rates.
    Bioinformatics (28 March 2007)
    by Ian A A Wood, Peter M M Visscher, Kerrie L L Mengersen
  • Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
    BMC Bioinformatics, Vol. 8 (16 June 2007), 206.
    by Zhipeng Cai, Randy Goebel, Mohammad R Salavatipour, Guohui Lin
  • A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?
    Bioinformatics (Oxford, England) (17 July 2008)
    posted to microarray classifier by shigepong on 2008-07-23 07:13:38 as ****
  • Consensus analysis of multiple classifiers using non-repetitive variables: Diagnostic application to microarray gene expression data.
    Comput Biol Chem, Vol. 31, No. 1. (February 2007), pp. 48-56.
    by Zhenqiang Su, Huixiao Hong, Roger Perkins, Xueguang Shao, Wensheng Cai, Weida Tong
    posted to classifier microarray by shigepong on 2007-02-18 10:21:38 as **** along with 1 person jfr
  • Classification of heterogeneous microarray data by maximum entropy kernel
    BMC Bioinformatics, Vol. 8 (26 July 2007), 267.
    by Wataru Fujibuchi, Tsuyoshi Kato
    posted to classifier microarray by shigepong on 2007-07-28 16:18:40 as *****
  • A Hierarchical Naive Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays
    BMC Bioinformatics, Vol. 7 (24 November 2006), 514.
    by Francesca Demichelis, Paolo Magni, Paolo Piergiorgi, Mark A Rubin, Riccardo Bellazzi
    posted to classifier microarray by shigepong on 2007-01-03 16:18:06 as **** along with 1 person Ayest
  • Subspace classifier in the hilbert space
    (1999)
    by K Tsuda
    posted to classification classifier hilbert-space svm by scis0000001 on 2007-03-06 09:25:34 as **
  • Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
    (2000), pp. 9-16.
    by Erin L Allwein, Robert E Schapire, Yoram Singer
    posted to classifier margin multi-class by sachina on 2007-09-02 17:08:10 as *** along with 2 people yosuke Mohan-S
  • A Bayesian approach to joint feature selection and classifier design
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1105-1111.
  • Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by David J Hand
  • Comment: Classifier Technology and the Illusion of Progress--Credit Scoring
    (19 Jun 2006)
    by Ross W Gayler
    posted to classification classifier by QFRMC on 2007-09-17 11:00:33 as read along with 1 group QFRMC_ConsumerCredit
  • Comment: Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by Robert A Stine
    posted to classification classifier by QFRMC on 2007-09-17 10:58:46 as read along with 1 group QFRMC_ConsumerCredit
  • Rejoinder: Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by David J Hand
  • Comment: Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by Jerome H Friedman
  • Artificial Neural Networks for Document Analysis and Recognition
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, No. 1. (January 2005), pp. 23-35.
    by Simone Marinai
    posted to classifier by pflynn on 2007-08-08 02:38:49 as **
  • Combination of Decisions by Multiple Classifiers
    (1992), pp. 188-202.
    by TK Ho, JJ Hull, SN Srihari
    edited by HS Baird, H Bunke, Yamamoto
    posted to classifier by pflynn on 2007-08-08 02:13:31 as ** along with 1 person luisbrandao
  • SVM multi-classifier and Web document classification
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on, Vol. 3 (2004), pp. 1347-1351 vol.3.
    by Jiu-Zhen Liang
    posted to classifier by pflynn on 2007-08-08 00:53:51 as **
  • Kernel represenation of the Kesler construction for Multi-class SVM classification
    by Vojech Franc, Vaclav Hlavac
  • Evolving training model method for one-class SVM
    Systems, Man and Cybernetics, 2003. IEEE International Conference on, Vol. 3 (2003), pp. 2388-2393 vol.3.
    by Quang-Anh Tran, Qianli Zhang, Xing Li
  • Texture classification and segmentation using wavelet packet frame and Gaussian mixture model
    Pattern Recognition, Vol. 40, No. 4. (April 2007), pp. 1207-1221.
    by Soo C Kim, Tae J Kang
  • An expert system based on Wavelet Neural Network-Adaptive Norm Entropy for scale invariant texture classification
    Expert Systems with Applications, Vol. 32, No. 3. (April 2007), pp. 919-926.
    by Engin Avci
  • Texture classification using ridgelet transform
    Pattern Recognition Letters, Vol. 27, No. 16. (December 2006), pp. 1875-1883.
    posted to classification classifier image-processing texture wavelet by PeterRabbit on 2007-11-05 15:00:00 as **
  • Building Support Vector Machines with Reduced Classifier Complexity
    J. Mach. Learn. Res., Vol. 7 (2006), pp. 1493-1515.
    by Sathiya S Keerthi, Olivier Chapelle, Dennis Decoste
  • Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
    J. Mach. Learn. Res., Vol. 7 (2006), pp. 817-854.
    by Régis Vert, Jean-Philippe Vert
  • Filtering for texture classification: a comparative study
    Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 4. (1999), pp. 291-310.
    by T Randen, JH Husoy
  • An online support vector machine for abnormal events detection
    Signal Process., Vol. 86, No. 8. (August 2006), pp. 2009-2025.
    by Manuel Davy, Fr&\#233;d&\#233;ric Desobry, Arthur Gretton, Christian Doncarli
  • Reducing the run-time complexity of support vector machines
    (1998)
    by E Osuna, F Girosi
  • A study on reduced support vector machines
    (2003)
    by K Lin, C Lin
  • Filtering for Texture Classification: A Comparative Study
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 21, No. 4. (April 1999), pp. 291-310.
    by Trygve Randen, John H Husoy
  • Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
    J. Mach. Learn. Res., Vol. 7 (2006), pp. 1517-1530.
    by Olvi L Mangasarian
  • The Effect of the Input Density Distribution on Kernel-based Classifiers
    (2000), pp. 1159-1166.
    by Christopher KI Williams, Matthias Seeger
  • Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers
    Vol. 2130 (2001)
    by Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus R Müller
    posted to classifier error-prediction kernel machine-learning by PeterRabbit on 2007-08-01 09:11:28 as **
  • Face detection using one-class SVM in color images
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on, Vol. 2 (2004), pp. 1431-1434 vol.2.
    by Hongliang Jin, Qingshan Liu, Hanqing Lu, Xiaofeng Tong
  • A tutorial on ν-support vector machines
    Applied Stochastic Models in Business and Industry, Vol. 21, No. 2. (2005), pp. 111-136.
    by Pai-Hsuen Chen, Chih-Jen Lin, Bernhard Schölkopf
  • Combining One-Class Classifiers
    Lecture Notes in Computer Science, Vol. 2096 (2001), pp. 299-??.
    by David MJ Tax, Robert PW Duin
    posted to classifier machine-learning one-class outlier-detection by PeterRabbit on 2007-08-01 10:13:24 as **
  • Improving one-class SVM for anomaly detection
    Machine Learning and Cybernetics, 2003 International Conference on, Vol. 5 (2003), pp. 3077-3081 Vol.5.
    by Kun-Lun Li, Hou-Kuan Huang, Sheng-Feng Tian, Wei Xu
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