Abstract

アルゴリズム:Algorithms

Protected: Overview of Discriminant Adaptive Losses in Statistical Mathematics Theory

Overview of Discriminant Conformal Losses in Statistical Mathematics Theory (Ramp Losses, Convex Margin Losses, Nonconvex Φ-Margin Losses, Discriminant Conformal, Robust Support Vector Machines, Discriminant Conformity Theorems, L2-Support Vector Machines, Squared Hinge Loss, Logistic Loss, Hinge Loss, Boosting, Exponential Losses, Discriminant Conformity Theorems for Convex Margin Losses, Bayes Rules, Prediction Φ-loss, Prediction Discriminant Error, Monotonic Nonincreasing Convex Function, Empirical Φ-loss, Empirical Discriminant Error)
セマンテックウェブ技術:Semantic web Technology

ISWC2008 Papers

ISWC2008, International Semantic Web Conference Proceedings Abstracts.
セマンテックウェブ技術:Semantic web Technology

ISWC2007 Papers

ISWC2007, International Semantic Web Conference Proceedings Abstracts.
セマンテックウェブ技術:Semantic web Technology

ISWC2006 Papers

ISWC2006, International Semantic Web Conference Proceedings Abstracts.
セマンテックウェブ技術:Semantic web Technology

ISWC2003 Papers

Overview of ISWC (International Semantic Web Conference) 2003
推論技術:inference Technology

Concrete and Abstract – natural language sematics and explain

Concrete and abstract to consider the meaning of natural language and explainable machine learning that can be used for digital transformation and artificial intelligence tasks.
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