Kdx An Indexer For Support Vector Machines

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KDX: An Indexer for Support Vector Machines.

    https://www.researchgate.net/publication/3297557_KDX_An_Indexer_for_Support_Vector_Machines
    Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the "top-k" best matches to ...

KDX: An Indexer for Support Vector Machines Navneet Panda

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.1609
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the “top-k ” best matches to the concept. However, when the dataset is large, naively scanning the entire dataset to find the top matches is not ...

PPT - KDX: An indexer for support vector machines ...

    https://www.slideserve.com/lschuller/kdx-an-indexer-for-support-vector-machines-powerpoint-ppt-presentation
    KDX: An indexer for support vector machines. Advisor : Dr. Hsu Presenter : Yu-San Hsieh Author : Navneet Panda, Edward Y. Chang. 2006. TKDE.748-763. Outline ...

KDX: an indexer for support vector machines - IEEE ...

    http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000001626230
    Support vector machines (SVMs) have been adopted by many data mining and information-retrieval applications for learning a mining or query concept, and then retrieving the "top-k" best matches to the concept. However, when the data set is large, naively scanning the entire data set to …

KDX: An Indexer for Support Vector Machines Navneet Panda

    https://core.ac.uk/display/24461713
    Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the “top-k ” best matches to the concept. However, when the dataset is large, naively scanning …Author: Edward Y. Chang

Exact indexing for support vector machines Proceedings ...

    https://dl.acm.org/doi/10.1145/1989323.1989398
    SVM (Support Vector Machine) is a well-established machine learning methodology popularly used for classification, regression, and ranking. Recently SVM has been actively researched for rank learning and applied to various applications including search engines or relevance feedback systems. ... Kdx: An indexer for support vector machines. IEEE ...

Exploiting Geometry for Support Vector Machine Indexing

    https://epubs.siam.org/doi/pdf/10.1137/1.9781611972757.29
    Exploiting Geometry for Support Vector Machine Indexing∗ Navneet Panda† Edward Y. Chang‡ Abstract Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the “top-k” best matches to the concept. However, when

Exploiting Geometry for Support Vector Machine Indexing

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.4884
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the “top-k ” best matches to the concept. However, when the dataset is large, naively scanning the entire dataset to find the top matches is not ...

Exact indexing for support vector machines

    https://dl.acm.org/citation.cfm?id=1989398
    SVM (Support Vector Machine) is a well-established machine learning methodology popularly used for classification, regression, and ranking. Recently SVM has been actively researched for rank learning and applied to various applications including search engines or relevance feedback systems.Cited by: 11

Exploiting Geometry for Support Vector Machine Indexing

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.2345
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the “top-k ” best matches to the concept. However, when the dataset is large, naively scanning the entire dataset to find the top matches is not ...

NSF IIS 0535085 - Stanford University

    http://infolab.stanford.edu/~echang/NSF-IIS-0535085.html
    Six scalable algorithms developed by this project are 1) PSVM, 2) CCF, 3) PFP, 4) Parallel Spectral Clustering, 5) PLDA, and 6) KDX. 1) PSVM: Support Vector Machines suffer from a widely recognized scalability problem in both memory use and computational time.

PPT - KDX: An indexer for support vector machines ...

    https://www.slideserve.com/lschuller/kdx-an-indexer-for-support-vector-machines-powerpoint-ppt-presentation
    KDX: An indexer for support vector machines. Advisor : Dr. Hsu Presenter : Yu-San Hsieh Author : Navneet Panda, Edward Y. Chang. 2006. TKDE.748-763. Outline ...

Classification of News Stories Using Support Vector Machines

    https://www.researchgate.net/publication/2331557_Classification_of_News_Stories_Using_Support_Vector_Machines
    Support vector machines (Vapnik, 1995 ) are a computational method for performing simultaneous feature space reduction and binary classification based on Vapnik's statistical learning theory.

Canonical duality solution for alternating support vector ...

    https://www.researchgate.net/publication/264997991_Canonical_duality_solution_for_alternating_support_vector_machine
    Support vector machines (SVMs) have been adopted by many data mining and information-retrieval applications for learning a mining or query concept, and then retrieving the "top-k" best matches to ...

Canonical duality solution for alternating support vector ...

    https://www.aimsciences.org/article/doi/10.3934/jimo.2012.8.611
    Support vector machine (SVM) is one of the most popular machine learning methods and is educed from a binary data classification problem. In this paper, the canonical duality theory is used to solve the normal model of SVM. Several examples are illustrated to show that the exact solution can be obtained after the canonical duality problem being solved.

iKernel: Exact indexing for support vector machines ...

    https://www.sciencedirect.com/science/article/pii/S0020025513006592
    iKernel: Exact indexing for support vector machines ... KDX , and the other is a metric-based index, M-tree , which is modified to support SVM indexing. Our experiments were done on a linux machine with two quadcore CPUs (2.27 GHz) and 24G memory. ... E. ChangKdx: an indexer for support vector machines. IEEE Transactions on Knowledge and Data ...

Forecasting the movement direction of exchange rate with ...

    https://www.sciencedirect.com/science/article/pii/S0895717712002658
    It is a very interesting topic to forecast the movement direction of financial time series by machine learning methods. Among these machine learning methods, support vector machine (SVM) is the most effective and intelligent one. A new learning model is presented in this paper, called the polynomial smooth support vector machine (PSSVM).

IKernel: Exact indexing for support vector machines ...

    https://www.researchgate.net/publication/221214704_IKernel_Exact_indexing_for_support_vector_machines
    Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the "top-k" best matches to ...

Navneet Panda - Shmula

    http://www.shmula.com/wp-content/uploads/2011/05/navneet-panda-google-pandaresume.pdf
    • KDX: An Indexer for Support Vector Machines, Navneet Panda and Edward Y. Chang (Transactions of Knowledge and Data Engineering, TKDE June 2006) • Active Learning in Very Large Databases, Navneet Panda, Kingshy Goh and Edward Y. Chang (Journal of Multimedia Tools and Applications Special Issue on Computer Vision Meets Databases)

Geometry and invariance in kernel based methods

    https://dl.acm.org/citation.cfm?id=299100
    Navneet Panda , Edward Y. Chang, KDX: An Indexer for Support Vector Machines, IEEE Transactions on Knowledge and Data Engineering, v.18 n.6, p.748-763, June 2006 ... Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders, Computers in Biology and Medicine, v.37 n.4, p.571-578, April, 2007

Support vector machines for spam categorization

    https://dl.acm.org/citation.cfm?id=2326469
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doi.acm.org

    https://doi.acm.org/10.1145/500141.500159
    Relevance feedback is often a critical component when designing image databases. With these databases it is difficult to specify queries directly and explicitly. Relevance feedbac

Exploiting Geometry for Support Vector Machine Indexing

    http://core.ac.uk/display/21737767
    Support Vector Machines (SVMs) have been adopted by many data-mining and information-retrieval applications for learning a mining or query concept, and then retrieving the “top-k ” best matches to the concept. However, when the dataset is large, naively scanning …

Support Vector Machine Active Learning with Application ...

    https://dl.acm.org/citation.cfm?id=658272
    Manabu Sassano, An empirical study of active learning with support vector machines for Japanese word segmentation, Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, July 07-12, 2002, Philadelphia, Pennsylvania ... KDX: An Indexer for Support Vector Machines, IEEE Transactions on Knowledge and Data Engineering ...



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