The top documents tagged [classification errors]

Classification using intersection kernel SVMs is efficient Joint work with Subhransu Maji and Alex Berg (CVPR08) Jitendra Malik UC Berkeley
Documents Classification using intersection kernel SVMs is efficient Joint work with Subhransu Maji and Alex Berg (CVPR08) Jitendra Malik UC Berkeley

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Bayesian mixture models for analysing gene expression data Natalia Bochkina In collaboration with Alex Lewin, Sylvia Richardson, BAIR Consortium Imperial
Documents Bayesian mixture models for analysing gene expression data Natalia Bochkina In collaboration with Alex Lewin, Sylvia Richardson, BAIR Consortium Imperial

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Support Vector Machine Figure 6.5 displays the architecture of a support vector machine. Irrespective of how a support vector machine is implemented, it
Documents Support Vector Machine Figure 6.5 displays the architecture of a support vector machine. Irrespective of how a support vector machine is implemented, it

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Machine Learning: Introduction to Neural Networks
Technology Machine Learning: Introduction to Neural Networks

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Change Detection Of Forest Fire In Los Angeles
Education Change Detection Of Forest Fire In Los Angeles

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Psyc&200 module 6 slides: Early Childhood Development
Education Psyc&200 module 6 slides: Early Childhood Development

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Weka Tutorial
Documents Weka Tutorial

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1 Total Survey Error: Past, Present, and Future Robert M. Groves University of Michigan and Joint Program in Survey Methodology
Documents 1 Total Survey Error: Past, Present, and Future Robert M. Groves University of Michigan and Joint Program in Survey Methodology

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Introduction to Cartography GEOG 2016 E Lecture-7 Geographical Information System
Documents Introduction to Cartography GEOG 2016 E Lecture-7 Geographical Information System

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Dependable Architectures Verlässliche Architekturen Architectures sûres de fonctionnement 9.4 Prof. Dr. H. Kirrmann ABB Research Center, Baden, Switzerland
Documents Dependable Architectures Verlässliche Architekturen Architectures sûres de fonctionnement 9.4 Prof. Dr. H. Kirrmann ABB Research Center, Baden, Switzerland

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Rodney D. Nielsen 1,2, Wayne Ward 1,2 and James H. Martin 1 1 Center for Computational Language and Education Research, CU, Boulder 2 Boulder Language
Documents Rodney D. Nielsen 1,2, Wayne Ward 1,2 and James H. Martin 1 1 Center for Computational Language and Education Research, CU, Boulder 2 Boulder Language

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Soft Margin Estimation for Speech Recognition Main Reference: Jinyu Li, " SOFT MARGIN ESTIMATION FOR AUTOMATIC SPEECH RECOGNITION," PhD thesis, Georgia
Documents Soft Margin Estimation for Speech Recognition Main Reference: Jinyu Li, " SOFT MARGIN ESTIMATION FOR AUTOMATIC SPEECH RECOGNITION," PhD thesis, Georgia

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