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Trust and Profit Sensitive Ranking for Web Databases and On-line Advertisements

Trust and Profit Sensitive Ranking for Web Databases and On-line Advertisements

Trust and Profit Sensitive Ranking for Web Databases and On-line Advertisements. Raju Balakrishnan rajub@asu.edu (PhD Dissertation Defense) Committee: Subbarao Kambhampati (chair) Yi Chen AnHai Doan Huan Liu. Agenda. Part 1: Ranking the Deep Web SourceRank: Ranking Sources.

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616 views • 51 slides
Classification and Prediction

Classification and Prediction

Classification and Prediction. Classification and Prediction. What is classification? What is regression? Issues regarding classification and prediction Classification by decision tree induction Scalable decision tree induction. Classification vs. Prediction. Classification:

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949 views • 48 slides
An Introduction to Support Vector Machine (SVM)

An Introduction to Support Vector Machine (SVM)

An Introduction to Support Vector Machine (SVM). Presenter : Ahey Date : 2007/07/20 The slides are based on lecture notes of Prof. ??? and Daniel Yeung. Outline. Background Linear Separable SVM Lagrange Multiplier Method Karush-Kuhn-Tucker (KKT) Conditions Non-linear SVM: Kernel

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814 views • 28 slides
Classification Algorithms

Classification Algorithms

Classification Algorithms. Basic Principle (Inductive Learning Hypothesis): Any hypothesis found to approximate the target function well over a sufficiently large set of training examples will also approximate the target function well over other unobserved examples. Decision trees

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367 views • 15 slides

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