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ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets.

, , , and . J. Artif. Intell. Res., (2016)

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Introduction to the special issue on statistical and probabilistic methods for user modeling., and . User Model. User-Adapt. Interact., 17 (1-2): 1-4 (2007)An Investigation into Applying Support Vector Machines to Pixel Classification in Image Processing., , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 140-151. Springer, (2004)Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme., , and . Australian Joint Conference on Artificial Intelligence, volume 2557 of Lecture Notes in Computer Science, page 119-130. Springer, (2002)Studies to Determine User Requirements Regarding In-Home Monitoring Systems., , , , , , and . UMAP, volume 7379 of Lecture Notes in Computer Science, page 139-150. Springer, (2012)Solving the simple continuous table layout problem., , and . ACM Symposium on Document Engineering, page 28-30. ACM, (2006)Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric Bounds., , and . ICDM, page 827-832. IEEE Computer Society, (2010)A hybrid architecture for strategically complex imperfect information games., , , and . KES, page 42-45. IEEE, (1999)Quality Controlled Region-Based PartialFingerprint Recognition., , , , and . J. Mobile Multimedia, 14 (2): 123-156 (2018)Structural Sensitivity for the Knowledge Engineering of Bayesian Networks., , and . Probabilistic Graphical Models, volume 8754 of Lecture Notes in Computer Science, page 1-16. Springer, (2014)Parameter Recovery Using Radon Transform., , , and . MoMM, page 34-43. ACM, (2018)