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Model Builder for Predictive Analytics & Fair Isaac's approach to KDD Cup 2003.

, , , , , and . SIGKDD Explorations, 5 (2): 163-164 (2003)

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Model Builder for Predictive Analytics & Fair Isaac's approach to KDD Cup 2003., , , , , and . SIGKDD Explorations, 5 (2): 163-164 (2003)MARK: a boosting algorithm for heterogeneous kernel models., , and . KDD, page 24-31. ACM, (2002)Efficiently Learning the Metric with Side-Information., , and . ALT, volume 2842 of Lecture Notes in Computer Science, page 175-189. Springer, (2003)Ellipsoidal Support Vector Machines., , and . ACML, volume 13 of JMLR Proceedings, page 31-46. JMLR.org, (2010)Linear Time Model Selection for Mixture of Heterogeneous Components., , , , and . ACML, volume 5828 of Lecture Notes in Computer Science, page 82-97. Springer, (2009)Efficient computations via scalable sparse kernel partial least squares and boosted latent features.. KDD, page 654-659. ACM, (2005)A Pattern Search Method for Model Selection of Support Vector Regression., and . SDM, page 261-274. SIAM, (2002)Influence Analysis in the Blogosphere, , , , and . CoRR, (2012)Constructing Orthogonal Latent Features for Arbitrary Loss., and . Feature Extraction, volume 207 of Studies in Fuzziness and Soft Computing, Springer, (2006)Promoting Total Efficiency in Text Clustering via Iterative and Interactive Metric Learning., , and . ICDM, page 878-883. IEEE Computer Society, (2009)