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Correlation-Based Content Adaptation For Mobile Web Browsing

Correlation-Based Content Adaptation For Mobile Web Browsing

Correlation-Based Content Adaptation For Mobile Web Browsing. Iqbal Mohomed, Adin Scannell, Nilton Bila, Jin Zhang, Eyal de Lara Department of Computer Science University of Toronto. Middleware 2007. Need for Adaptation. Downloaded Data ? 600KB. Content must be customized!.

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638 views • 51 slides
Introduction to Boosting

Introduction to Boosting

Introduction to Boosting. Slides Adapted from Che Wanxiang(???) at HIT, and Robin Dhamankar of Many thanks!. Ideas. Boosting is considered to be one of the most significant developments in machine learning

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517 views • 41 slides
Introduction to Boosting

Introduction to Boosting

Introduction to Boosting. Slides Adapted from Che Wanxiang(???) at HIT, and Robin Dhamankar of Many thanks!. Ideas. Boosting is considered to be one of the most significant developments in machine learning

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732 views • 41 slides
Introduction to Boosting

Introduction to Boosting

Introduction to Boosting. Slides Adapted from Che Wanxiang(???) at HIT, and Robin Dhamankar of Many thanks!. Ideas. Boosting is considered to be one of the most significant developments in machine learning

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426 views • 41 slides
CSC321: Introduction to Neural Networks and Machine Learning Lecture 15: Mixtures of Experts

CSC321: Introduction to Neural Networks and Machine Learning Lecture 15: Mixtures of Experts

CSC321: Introduction to Neural Networks and Machine Learning Lecture 15: Mixtures of Experts . Geoffrey Hinton. Very local models e.g. Nearest neighbors Very fast to fit Just store training cases Local smoothing obviously improves things. Fully global models e. g. Polynomial

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572 views • 19 slides

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