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di jjrodriguez svm [19 articles]

Articoli aggiunti di recente alla biblioteca di jjrodriguez classificati sotto il tag svm. You can also see everyone's svm.
  • Kernels for Large Margin Time-Series Classification
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on (2007), pp. 2746-2751.
    by KR Sivaramakrishnan, K Karthik, C Bhattacharyya
    posted to svm time_series by jjrodriguez on 2008-08-25 17:31:51 as **
  • Transforming classifier scores into accurate multiclass probability estimates
    (2002), pp. 694-699.
    by Bianca Zadrozny, Charles Elkan
    posted to multiclass naive_bayes svm by jjrodriguez on 2008-06-05 15:02:04 as **
  • Classification in a normalized feature space using support vector machines
    Neural Networks, IEEE Transactions on, Vol. 14, No. 3. (2003), pp. 597-605.
    by ABA Graf, AJ Smola, S Borer
    posted to normalization svm by jjrodriguez on 2008-05-28 17:19:59 as **
  • Input Vector Normalization Methods in Support Vector Machines for Automatic Incident Detection
    Transportation Planning and Technology, Vol. 30, No. 6. (2007), pp. 593-608.
    by Daehyon Kim, Seungjae Lee, Seongkil Cho
    posted to normalization svm by jjrodriguez on 2008-05-28 17:05:53 as **
  • Support vector machines for multi-class classification
    Engineering Applications of Bio-Inspired Artificial Neural Networks (1999), pp. 833-842.
    by Eddy Mayoraz, Ethem Alpaydin
    posted to multiclass normalization svm by jjrodriguez on 2008-05-28 16:53:46 as **
  • Normalization in Support Vector Machines
    (2001), pp. 277-282.
    by Arnulf BA Graf, Silvio Borer
    posted to normalization svm by jjrodriguez on 2008-05-28 16:47:19 as ** along with 1 person j0nes
  • Feature subset selection and feature ranking for multivariate time series
    Transactions on Knowledge and Data Engineering, Vol. 17, No. 9. (2005), pp. 1186-1198.
    by H Yoon, K Yang, C Shahabi
    posted to feature_selection svm time_series by jjrodriguez on 2008-05-22 17:44:09 as ** along with 3 people Phanix gkvas eacosta
  • CL eV er: A Feature Subset Selection Technique for Multivariate Time Series
    Advances in Knowledge Discovery and Data Mining (2005), pp. 516-522.
    by Kiyoung Yang, Hyunjin Yoon, Cyrus Shahabi
    posted to feature_selection svm time_series by jjrodriguez on 2008-05-21 18:29:21 as **
  • A Kernel for Time Series Based on Global Alignments
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, Vol. 2 (2007), pp. II-413-II-416.
    by M Cuturi, JP Vert, O Birkenes, T Matsui
    posted to svm time_series by jjrodriguez on 2008-04-30 16:51:05 as **
  • Optimal sequential kernel detection for dependent processes
    Journal of Statistical Planning and Inference, Vol. 132, No. 1-2. (1 June 2005), pp. 131-147.
    by Ansgar Steland
    posted to svm time_series by jjrodriguez on 2008-04-30 15:49:48 as **
  • On the time series support vector machine using dynamic time warping kernel for brain activity classification
    Cybernetics and Systems Analysis, Vol. 44, No. 1. (27 January 2008), pp. 125-138.
    by W Chaovalitwongse, P Pardalos
    posted to dtw invref svm time_series by jjrodriguez on 2008-04-24 18:42:28 as **
  • A Note on the Bias in SVMs for Multiclassification
    Neural Networks, IEEE Transactions on, Vol. 19, No. 4. (2008), pp. 723-725.
    by L Gonzalez-Abril, C Angulo, F Velasco, JA Ortega
    posted to multiclass svm by jjrodriguez on 2008-04-07 11:38:14 as ** along with 1 person jreedgt
  • Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm
    Machine Learning, Vol. 71, No. 1. (13 April 2008), pp. 33-53.
    by Yuanqing Li, Cuntai Guan
    posted to svm time_series by jjrodriguez on 2008-03-24 09:18:58 as **
  • Margin-based first-order rule learning
    Machine Learning
    by Ulrich Rückert, Stefan Kramer
    posted to ilp svm by jjrodriguez on 2008-03-24 09:10:26 as ** along with 1 person dayadvham
  • Matrix-pattern-oriented least squares support vector classifier with AdaBoost
    Pattern Recognition Letters, Vol. 29, No. 6. (15 April 2008), pp. 745-753.
    by Zhe Wang, Songcan Chen
    posted to boosting ensemble svm by jjrodriguez on 2008-03-10 16:46:19 as **
  • Recursive Support Vector Machines for Dimensionality Reduction
    Neural Networks, IEEE Transactions on, Vol. 19, No. 1. (2008), pp. 189-193.
    by Qing Tao, Dejun Chu, Jue Wang
    posted to dimensionality_reduction svm by jjrodriguez on 2008-03-04 12:04:33 as **
  • Multiclass Posterior Probability Support Vector Machines
    Neural Networks, IEEE Transactions on, Vol. 19, No. 1. (2008), pp. 130-139.
    by M Gonen, AG Tanugur, E Alpaydm
    posted to multiclass svm by jjrodriguez on 2008-03-04 11:52:10 as **
  • Support Vector Machinery for Infinite Ensemble Learning
    Journal of Machine Learning Research, Vol. 9 (February 2007), pp. 285-312.
    by Hsuan-Tien Lin, Ling Li
    posted to ensemble svm by jjrodriguez on 2008-02-22 10:04:00 as read along with 1 person sdvillal
  • Optimization Techniques for Semi-Supervised Support Vector Machines
    Journal of Machine Learning Research, Vol. 9 (February 2007), pp. 203-233.
    by Olivier Chapelle, Vikas Sindhwan, Sathiya S Keerthi
    posted to semisupervised svm by jjrodriguez on 2008-02-22 10:02:31 as **
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