PDF Ebook about: Linear Support Vector Machine

Linear Support Vector Machine

List of ebooks and manuals about Linear Support Vector Machine

5 documents available in our comprehensive collection of Linear Support Vector Machine resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Hydrology Modeling
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Hydrology Modeling (hess-14-1943-2010.pdf)

1.24 MBEN 19 pages
Researchers applied various data-driven modeling techniques to five hydrology case studies, including actual evapotranspiration, soil moisture, and...
Preview of Iris Species Identification
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Iris Species Identification (IRJET-V10I175.pdf)

4.92 MBsonyEN 5 pages
The study uses machine learning algorithms to identify different species of iris flowers, specifically Versicolor, Setosa, and Virginica, using the Iris
Preview of Learning Mahalanobis Metric for Large Margin kNN
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Learning Mahalanobis Metric for Large Margin kNN (2795-distance-metric-learning-for-large-margin-nearest-neighbor-classification.pdf)

290 KBKilian Q. Weinberger, John Blitzer, Lawrence K. SaulEN 8 pages
Learns Mahalanobis distance metric for k-NN classification, ensuring same-class neighbors and large inter-class margins. Improves kNN accuracy, e.g., 1.3% test error on MNIST.
Preview of Post-Disaster Recovery Assessment Through Land Cover and Land Use Change Analysis Using Remote Sensing
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Post-Disaster Recovery Assessment Through Land Cover and Land Use Change Analysis Using Remote Sensing (sheykhmousa.pdf)

4.05 MBBalioEN 82 pages
This is a PhD thesis submitted by Mohammadreza Sheykhmousa in February 2018, focusing on post-disaster recovery through assessment of land cover and land use changes using remote sensing, under the supervision of Prof. Dr. N. Kerle and Dr. M. Kuffer.
Preview of Top 10 Data Mining Algorithms: A Survey
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Top 10 Data Mining Algorithms: A Survey (10Algorithms-08.pdf)

783 KBEN 37 pages
This survey paper identifies and discusses the top 10 most influential data mining algorithms, including C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART, highlighting their applications and ongoing research.

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