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thefillm's library [314 articles]

Recent papers added to thefillm's library.
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  • Real-Time Intrusion Detection System Based on Self-Organized Maps and Feature Correlations
    Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on, Vol. 2 (2008), pp. 1154-1158.
    by Hayoung Oh, Kijoon Chae
    posted to som security ids by thefillm on 2008-12-25 00:01:53 as *****
  • Learning Nonlinear Principal Manifolds by Self-Organising Maps
    Principal Manifolds for Data Visualization and Dimension Reduction (2007), pp. 68-95.
    by Hujun Yin
    posted to som_validation som by thefillm on 2008-12-17 14:57:44 as *****
  • UCI Machine Learning Repository
    (2007)
    by A Asuncion, DJ Newman
    posted to dataset by thefillm on 2008-12-03 03:49:15 as **
  • Maximum Likelihood from Incomplete Data via the EM Algorithm
    Journal of the Royal Statistical Society. Series B (Methodological), Vol. 39, No. 1. (1977), pp. 1-38.
    by AP Dempster, NM Laird, DB Rubin
  • Support-vector networks
    Machine Learning, Vol. 20, No. 3. (1995), pp. 273-297.
    by Corinna Cortes, Vladimir Vapnik
    posted to svm classification by thefillm on 2008-12-03 01:16:06 as ***** along with 4 people apostola lp2 jhs4jeb carlk
  • Sur la division des corp materiels en parties
    Bull. Acad. Polon. Sci, Vol. 1 (1956), pp. 801-804.
    posted to kmeans clustering by thefillm on 2008-12-03 00:37:39 as **
  • Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lectures)
    (01 May 2007)
    by Gilbert Harman, Sanjeev Kulkarni
    posted to slt induction by thefillm on 2008-12-02 13:42:49 as ***** along with 2 people sdvillal quianominorleo
  • Transductive inference for estimating values of functions
    Advances in Neural Information Processing Systems, Vol. 12 (1999), pp. 421-427.
    posted to universum slt inference by thefillm on 2008-12-02 13:41:00 as ****
  • Inference with the Universum
    (2006), pp. 1009-1016.
    by Jason Weston, Ronan Collobert, Fabian Sinz, Léon Bottou, Vladimir Vapnik
    posted to universum slt inference by thefillm on 2008-12-02 13:30:55 as *****
  • An overview of statistical learning theory
    Neural Networks, IEEE Transactions on, Vol. 10, No. 5. (1999), pp. 988-999.
    by VN Vapnik
  • Statistical Learning Theory: A Primer
    Int. J. Comput. Vision, Vol. 38, No. 1. (June 2000), pp. 9-13.
    by Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio
    posted to stl by thefillm on 2008-12-02 13:29:06 as ***** along with 2 people and 1 group yaroslavvb gangli tulip
  • Towards a statistical theory of clustering
    (2005)
    by U von Luxburg, Ben S David
    posted to theory slt clustering by thefillm on 2008-12-02 13:26:37 as **
  • The Mathematics of Learning: Dealing with Data
    Notices of the American Mathematical Society (AMS), Vol. 50, No. 5. (2003), pp. 537-544.
    by T Poggio, S Smale
    posted to machine_learning learning by thefillm on 2008-12-02 13:18:59 as **
  • Combining variable selection with dimensionality reduction
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 2 (2005), pp. 801-806 vol. 2.
    by L Wolf, S Bileschi
    posted to selection reduction pca by thefillm on 2008-12-02 13:14:39 as ** along with 1 person sdvillal
  • Generalizations of the self-organizing map
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on, Vol. 1 (1993), pp. 457-462 vol.1.
    by T Kohonen
    posted to som generalization by thefillm on 2008-12-02 13:10:31 as **
  • Cluster analysis using self-organizing maps and image processing techniques
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, Vol. 5 (1999), pp. 367-372 vol.5.
    posted to som interpretation clustering by thefillm on 2008-12-02 13:08:07 as ****
  • Methods for Interpreting a Self-Organized Map in Data Analysis
    (1998), pp. 185-190.
    by S Kaski, J Nikkila, T Kohonen
    posted to visualisation som interpretation clustering by thefillm on 2008-12-02 13:04:29 as **
  • Enhancing SOM Based Data Visualization
    Vol. 1 (1998), pp. 64-67.
    posted to visualisation som interpretation clustering by thefillm on 2008-12-02 12:56:22 as **
  • Clustering method using self-organizing map
    Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop, Vol. 1 (2000), pp. 261-270 vol.1.
    by M Endo, M Ueno, T Tanabe, M Yamamoto
    posted to som hierarchical_som clustering by thefillm on 2008-12-02 12:46:55 as **
  • A Comparative Analysis of Clustering Methodology and Application for Market Segmentation: K-Means, SOM and a Two-Level SOM
    Foundations of Intelligent Systems (2006), pp. 435-444.
    by Sang-Chul Lee, Ja-Chul Gu, Yung-Ho Suh
    posted to som kmeans interpretation clustering by thefillm on 2008-12-02 12:43:24 as **
  • Self-organizing map as a new method for clustering and data analysis
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on, Vol. 3 (1993), pp. 2448-2451 vol.3.
    by Xuegong Zhang, Yanda Li
    posted to som interpretation clustering by thefillm on 2008-12-02 12:40:21 as **
  • Visual feature analysis by the self-organising maps
    Neural Computing & Applications, Vol. 7, No. 3. (1998), pp. 273-286.
    by T Kohonen, E Oja
    posted to som interpretation clustering by thefillm on 2008-12-02 12:38:07 as ****
  • An approach to automated interpretation of SOM
    Advances in Self-Organizing Maps (2001), pp. 89-94.
    posted to som kmeans interpretation clustering by thefillm on 2008-12-02 12:35:32 as **
  • Interpreting the Kohonen self-organizing feature map using contiguity-constrained clustering
    Pattern Recognition Letters, Vol. 16, No. 4. (April 1995), pp. 399-408.
    by F Murtagh
    posted to som interpretation clustering by thefillm on 2008-12-02 12:31:37 as *****
  • Analysis of data clusters obtained by self-organizing methods
    Physica A: Statistical Mechanics and its Applications, Vol. 341 (01 October 2004), pp. 547-555.
    posted to som clustering by thefillm on 2008-12-02 12:27:59 as ****
  • Generalization from Observed to Unobserved Features by Clustering
    The Journal of Machine Learning Research, Vol. 9 (2008), pp. 339-370.
    by E Krupka, N Tishby
    posted to machine_learning clustering by thefillm on 2008-12-02 12:15:13 as **
  • Extending the Kohonen self-organizing map networks for clustering analysis
    Computational Statistics & Data Analysis, Vol. 38, No. 2. (28 December 2001), pp. 161-180.
    by M Kiang
    posted to som_validation som clustering by thefillm on 2008-12-01 19:38:05 as *****
  • Clustering of the self-organizing map
    Neural Networks, IEEE Transactions on, Vol. 11, No. 3. (2000), pp. 586-600.
  • Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density
    Pattern Recognition, Vol. 37, No. 2. (February 2004), pp. 175-188.
    by S Wu
    posted to som_validation som clustering by thefillm on 2008-12-01 19:34:38 as *****
  • Component-based visual clustering using the self-organizing map
    Neural Networks, Vol. 20, No. 2. (March 2007), pp. 260-273.
    by M Hussain, J Eakins
    posted to som clustering by thefillm on 2008-12-01 19:32:59 as *****
  • On Clustering Validation Techniques
    Journal of Intelligent Information Systems, Vol. 17, No. 2. (1 December 2001), pp. 107-145.
    by Maria Halkidi, Yannis Batistakis, Michalis Vazirgiannis
    posted to validation som_validation clustering by thefillm on 2008-12-01 19:30:14 as **
  • Investigating diversity of clustering methods: An empirical comparison
    Data & Knowledge Engineering, Vol. 63, No. 1. (October 2007), pp. 155-166.
    by Roy Gelbard, Orit Goldman, Israel Spiegler
  • Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick
    Neural Information Processing (2004), pp. 150-157.
    by Manuel Martín-Merino, Alberto Muñoz
    posted to som kernel by thefillm on 2008-12-01 19:20:41 as **
  • Kernel self-organising maps for classification
    Neurocomputing, Vol. 69, No. 16-18. (October 2006), pp. 2033-2040.
    by K Lau, H Yin, S Hubbard
    posted to som kernel classification by thefillm on 2008-12-01 19:19:18 as **
  • A Novel Kernel Method for Clustering
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 5. (2005), pp. 801-804.
    by F Camastra, A Verri
  • Two topographic maps for data visualisation
    Data Mining and Knowledge Discovery, Vol. 14, No. 2. (April 2007), pp. 207-224.
    by Colin Fyfe
    posted to topology som gtm by thefillm on 2008-12-01 16:51:36 as ****
  • A fast nearest neighbor classifier based on self-organizing incremental neural network
    Neural Networks, Vol. 21, No. 10. (December 2008), pp. 1537-1547.
    by F Shen, O Hasegawa
    posted to som clustering by thefillm on 2008-12-01 16:16:45 as *****
  • Generative or Discriminative? Getting the Best of Both Worlds
    BAYESIAN STATISTICS, No. 8. (2007), pp. 3-24.
    by Julia Lasserre, Christopher M Bishop
    edited by JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, M West
    posted to machine_learning by thefillm on 2008-12-01 15:59:00 as **
  • A New Framework for Machine Learning
    Computational Intelligence: Research Frontiers (2008), pp. 1-24.
    by Christopher Bishop
    posted to machine_learning by thefillm on 2008-12-01 15:53:25 as **
  • GTM: The Generative Topographic Mapping
    Neural Computation, Vol. 10, No. 1. (1998), pp. 215-234.
    by CM Bishop, M Svensen, CKI Williams
    posted to som gtm file-import-08-12-01 by thefillm on 2008-12-01 15:35:38 as *****
  • S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (1998), pp. 549-555.
    by K Kiviluoto, E Oja
    posted to som gtm file-import-08-12-01 by thefillm on 2008-12-01 15:32:56 as *****
  • Fast self-organizing feature map algorithm
    Neural Networks, IEEE Transactions on, Vol. 11, No. 3. (2000), pp. 721-733.
    by Mu-Chun Su, Hsiao-Te Chang
    posted to speed som kmeans by thefillm on 2008-12-01 15:26:43 as ***** along with 1 person zhengzhong
  • Visualisations for Comparing Self-organising Maps
    (2007)
    by Doris Baum
    posted to visualisation som by thefillm on 2008-12-01 15:21:56 as ****
  • Neural and statistical methods for the visualization of multidimensional data
    (2001)
    by A Naud
    posted to visualisation som file-import-08-12-01 by thefillm on 2008-12-01 15:16:16 as **
  • Statistical pattern recognition with neural networks: benchmarking studies
    Neural Networks, 1988., IEEE International Conference on (1988), pp. 61-68 vol.1.
    posted to lvq knn comparison by thefillm on 2008-12-01 15:08:54 as ** along with 1 person rnaylor
  • A comparison of the classification capabilities of the 1-dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms
    Psychometrika, Vol. 63, No. 1. (18 March 1998), pp. 5-22.
    by Niels Waller, Heather Kaiser, Janine Illian, Mike Manry
    posted to som comparison clustering by thefillm on 2008-12-01 15:06:09 as ****
  • Statistical Pattern Recognition: A Review
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 22, No. 1. (January 2000), pp. 4-37.
    by Anil K Jain, Robert PW Duin, Jianchang Mao
  • Topographic Mappings and Feed-forward Neural Networks
    (1996)
    by ME Tipping
    posted to topology som sammon by thefillm on 2008-12-01 15:01:19 as *****
  • notes Investigating diversity of clustering methods: An empirical comparison
    Data & Knowledge Engineering, Vol. 63, No. 1. (2007)
    by Roy Gelbard, Orit Goldman, Israel Spiegler
    posted to file-import-08-12-01 clustering cluster analysis by thefillm on 2008-12-01 14:53:31 as ****
  • Support vector clustering
    The Journal of Machine Learning Research, Vol. 2 (2002), pp. 125-137.
    by Ben A Hur, D Horn, HT Siegelmann, V Vapnik
    posted to svc file-import-08-12-01 clustering by thefillm on 2008-12-01 14:51:02 as **
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