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Lecture 7: Clustering

Lecture 7: Clustering

Lecture 7: Clustering. Machine Learning Queens College. Clustering. Unsupervised technique. Task is to identify groups of similar entities in the available data. And sometimes remember how these groups are defined for later use. People are outstanding at this.

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753 views • 61 slides
Learning From Data

Learning From Data

Learning From Data. Chichang Jou Tamkang University. Chapter Objectives. Analyze the general model of inductive learning Explain how to select an approximating function Introduce risk functional for regression and classification problems Identify concepts in statistical learning theory

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419 views • 32 slides
Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products. Jianfu Chen, David S. Warren Stony Brook University. Classification is a fundamental problem in information management. UNSPSC. Vehicles and their Accessories and Components (25).

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352 views • 22 slides
A High Performance Semi-Supervised Learning Method for Text Chunking

A High Performance Semi-Supervised Learning Method for Text Chunking

A High Performance Semi-Supervised Learning Method for Text Chunking. Authors: Rie Kubota Ando Tong Zhang. S tructural learning. Idea:

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308 views • 18 slides
Learning to rank Web Science 2013

Learning to rank Web Science 2013

Learning to rank Web Science 2013. Jaspreet Singh. Overview. Optimizing search engines using click through data. Thorsten Joachims , SIGKDD 2002 . Large Scale learning to rank. D. Sculley . Machine Learning Algorithm. Retrieval function.

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353 views • 16 slides

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