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sdvillal library [850 articles]

最近 sdvillal さんのライブラリ (優先度順).
  • Growing a multi-class classifier with a reject option
    Pattern Recognition Letters, Vol. 29, No. 10. (15 July 2008), pp. 1565-1570.
    by DMJ Tax, RPW Duin
    posted to rejection-option occ-others multiclass-to-occ ensembles by sdvillal on 2008-07-23 13:38:11 as **
  • The Curse of Highly Variable Functions for Local Kernel Machines
    (2005)
    by Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux
    posted to locality kernel-machines dimension-reduction by sdvillal on 2008-07-15 16:09:15 as **
  • An information-theoretic perspective of tf-idf measures
    Information Processing & Management, Vol. 39, No. 1. (January 2003), pp. 45-65.
    by Akiko Aizawa
  • Modeling word burstiness using the Dirichlet distribution
    (2005), pp. 545-552.
    by Rasmus E Madsen, David Kauchak, Charles Elkan
    posted to text-classification dirichlet by sdvillal on 2008-06-11 16:03:24 as **
  • Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution
    (2006), pp. 289-296.
    by Charles Elkan
    posted to text-classification dirichlet by sdvillal on 2008-06-11 16:02:18 as **
  • Building Text Classifiers Using Positive and Unlabeled Examples
    (2003)
    by Bing Liu, Yang Dai, Xiaoli Li, Wee S Lee, Philip S Yu
  • Addressing the curse of imbalanced training sets: one-sided selection
    (1997), pp. 179-186.
    by Miroslav Kubat, Stan Matwin
  • A practical method for the software fault-prediction
    Information Reuse and Integration, 2007. IRI 2007. IEEE International Conference on (2007), pp. 659-666.
    by Zhan Li, M Reformat
    posted to imbalanced boosting by sdvillal on 2008-06-03 06:42:12 as **
  • Generalization from Observed to Unobserved Features by Clustering
    Journal of Machine Learning Research, Vol. 9 (March 2008), pp. 339-370.
    by Eyal Krupka, Naftali Tishby
  • Max-margin Classification of Data with Absent Features
    Journal of Machine Learning Research, Vol. 9 (January 2008), pp. 1-21.
    by Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller
    posted to unobserved-features structured-domains by sdvillal on 2008-06-02 10:30:47 as **
  • Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
    (29 October 2007)
  • The Pyramid Match Kernel: Efficient Learning with Sets of Features
    Journal of Machine Learning Research, Vol. 8 (April 2007), pp. 725-760.
    by Kristen Grauman, Trevor Darrell
  • Feature selection for text categorization on imbalanced data
    SIGKDD Explor. Newsl., Vol. 6, No. 1. (June 2004), pp. 80-89.
    by Zhaohui Zheng, Xiaoyun Wu, Rohini Srihari
  • An Extensive Empirical Study of Feature Selection Metrics for Text Classification
    Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1289-1305.
    by George Forman
  • Phase transitions and the search problem
    Artificial Intelligence, Vol. 81, No. 1-2. (March 1996), pp. 1-15.
    by Tad Hogg, Bernardo A Huberman, Colin P Williams
    posted to phase-transition by sdvillal on 2008-05-14 14:39:31 as **
  • The Design and Analysis of an Algorithm Portfolio for SAT
    Principles and Practice of Constraint Programming – CP 2007 (2007), pp. 712-727.
    by Lin Xu, Frank Hutter, Holger Hoos, Kevin Leyton-Brown
    posted to sat meta-learning data-mining-general algorithm-portfolio by sdvillal on 2008-05-13 09:12:42 as **
  • Off-the-peg and bespoke classifiers for fraud detection
    Computational Statistics & Data Analysis, Vol. 52, No. 9. (15 May 2008), pp. 4521-4532.
    by Piotr Juszczak, Niall M Adams, David J Hand, Christopher Whitrow, David J Weston
    posted to occ-comparison occ-applications by sdvillal on 2008-05-12 08:37:15 as **
  • Variational Extensions to EM and Multinomial PCA
    (2002), pp. 23-34.
    by Wray L Buntine
  • Scale-sensitive dimensions, uniform convergence, and learnability
    J. ACM, Vol. 44, No. 4. (July 1997), pp. 615-631.
    by Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler
  • Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lectures)
    (01 May 2007)
    by Gilbert Harman, Sanjeev Kulkarni
  • Tutorial on Practical Prediction Theory for Classification
    Journal of Machine Learning Research, Vol. 6 (March 2005), pp. 273-306.
    by John Langford
    posted to ml-foundations learning-bounds error-estimation by sdvillal on 2008-04-24 12:37:12 as **
  • Learning over Sets using Kernel Principal Angles
    Journal of Machine Learning Research, Vol. 4 (October 2003), pp. 913-931.
    by Lior Wolf, Amnon Shashua
  • Abduction and Induction: Essays on their Relation and Integration (Applied Logic Series)
    (30 April 2000)
  • Smart Inductive Generalizations are Abductions
  • Integrating abduction and induction in machine learning
    (1997)
    by R Mooney
  • Combining Labeled and Unlabeled Data with Co-training
    (1998)
    by Avrim Blum, Tom Mitchell
  • Latent Dirichlet Allocation
    Journal of Machine Learning Research, Vol. 3 (January 2003), pp. 993-1022.
    by David M Blei, Andrew Y Ng, Michael I Jordan
  • A selective sampling approach to active feature selection
    Artif. Intell., Vol. 159, No. 1-2. (2004), pp. 49-74.
    by Huan Liu, Hiroshi Motoda, Lei Yu
  • Ensembles of nested dichotomies for multi-class problems
    (2004)
    by Eibe Frank, Stefan Kramer
  • Semisupervised learning using feature selection based on maximum density subgraphs
    Systems and Computers in Japan, Vol. 38, No. 9. (2007), pp. 32-43.
    by Yoshiyuki Nakatani, Kuangyi Zhu, Kuniaki Uehara
  • Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    (2007)
    by Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos
  • Masquerader Detection Using OCLEP: One-Class Classification Using Length Statistics of Emerging Patterns
    Web-Age Information Management Workshops, 2006. WAIM '06. Seventh International Conference on (2006), pp. 5-5.
    by Lijun Chen, Guozhu Dong
    posted to occ-applications occ-others occ-support-vector by sdvillal on 2008-04-15 11:24:53 as **
  • Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)
    (15 October 1996)
    by Gene H Golub, Charles F Van Loan
  • Numerical Recipes with Source Code CD-ROM 3rd Edition: The Art of Scientific Computing
    (01 September 2007)
    by William H Press, Saul A Teukolsky, William T Vetterling, Brian P Flannery
    posted to numerical-computing by sdvillal on 2008-04-06 11:19:04 as ** along with 1 person pbellec
  • Learning a Maximum Margin Subspace for Image Retrieval
    IEEE Trans. on Knowl. and Data Eng., Vol. 20, No. 2. (February 2008), pp. 189-201.
    by Xiaofei He, Deng Cai, Jiawei Han
  • Geodesic entropic graphs for dimension and entropy estimation in manifold learning
    Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 52, No. 8. (2004), pp. 2210-2221.
    by JA Costa, AO Hero
    posted to intrinsic-dimension-estimation by sdvillal on 2008-04-01 15:04:46 as **
  • Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
    (29 August 2006)
  • Convexity, Classification, and Risk Bounds
    Journal of the American Statistical Association, Vol. 101, No. 473. (March 2006), pp. 138-156.
    by Peter L Bartlett, Michael I Jordan, Jon D Mcauliffe
  • On divergences, surrogate loss functions, and decentralized detection
    (25 Oct 2005)
    by Xuanlong Nguyen, Martin J Wainwright, Michael I Jordan
  • One-class classifiers : a review and analysis of suitability in the context of mobile-masquerader detection
    South African Computer Journal, Vol. 36 (2006), pp. 29-48.
    by Oleksiy Mazhelis
    posted to occ-applications occ-survey by sdvillal on 2008-03-31 14:11:08 as **
  • Application of LVQ to novelty detection using outlier training data
    Pattern Recognition Letters, Vol. 27, No. 13. (1 October 2006), pp. 1572-1579.
    by Hyoung-Joo Lee, Sungzoon Cho
    posted to occ-neural-networks occ-with-outliers by sdvillal on 2008-03-31 14:07:20 as **
  • The many faces of sequence alignment.
    Brief Bioinform, Vol. 6, No. 1. (March 2005), pp. 6-22.
  • The complexity of theorem-proving procedures
    (1971), pp. 151-158.
    by Stephen A Cook
  • Active Learning with Feedback on Features and Instances
    Journal of Machine Learning Research, Vol. 7 (August 2006), pp. 1655-1686.
    by Hema Raghavan, Omid Madani, Rosie Jones
  • Alternative Measures of Computational Complexity with Applications to Agnostic Learning
    Theory and Applications of Models of Computation (2006), pp. 231-235.
    by Shai Ben-David
  • Random Forests
    Machine Learning, Vol. V45, No. 1. (1 October 2001), pp. 5-32.
    by Leo Breiman
  • Novelty detection with constructive probabilistic neural networks
    Neurocomputing, Vol. 71, No. 4-6. (January 2008), pp. 1046-1053.
    by Adriano L Oliveira, Flavio R Costa, Clovis O Filho
    posted to occ-applications occ-nearest-neighbor occ-neural-networks by sdvillal on 2008-03-25 12:06:58 as **
  • Weighted support vector machine for data classification
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, Vol. 2 (2005), pp. 859-864 vol. 2.
    by Xulei Yang, Qing Song, A Cao
  • A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces
    (24 May 2005)
    by Zengyou He, Xiaofei Xu, Shengchun Deng
  • Modified support vector novelty detector using training data with outliers
    Pattern Recogn. Lett., Vol. 24, No. 14. (October 2003), pp. 2479-2487.
    by Li J Cao, Heow P Lee, Wai K Chong
    posted to occ-support-vector occ-with-outliers by sdvillal on 2008-03-25 11:53:33 as **
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