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EDPS 6751 Week 6 Decision Tree Classifier (1)

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Week 6: Decision Tree Classifier

Created: 2018-04-26

EDPS 6751 Week 5 Unsupervised Learning (1)

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Week 5: Unsupervised Learning

Created: 2018-04-26

EDPS 6751 Week 4 Data Preparation (1)

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Week 4: Data Preparation

Created: 2018-04-25

EDPS 6571 Week 1 Introduction (1)

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Week 1 Introduction

Created: 2018-04-25

EDPS 6751 Week 2 Problem Definition (1)

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Week 2: Problem Definition

Created: 2018-04-25

EDPS 6751 Week 3 Data Exploration (1)

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Week 3: Data Exploration

Created: 2018-04-25

Quality Recognition Model (QRM) (1)

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Quality Recognition Model (QRM) is a SVM-based Machine Learning supervised classification model that assigns label to the evidentiary documents on the basis of rigorousness of the contents. It assigns the label Rigor if the document is of quality otherwise assigns the Non-Rigor. It uses two type of features: data and metadata. Data features include title and abstract while the metadata features include MeSH terms and publication type.

Created: 2017-03-11

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What in the World is Universe?: A prime example

Created: 2016-11-22 20:48:25

Credits: M. Kirsh

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

File type: Adobe PDF

Comments: 0 | Viewed: 17 times | Downloaded: 7 times

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The Spaces in the Looking Glass: Stllling the frame/...

Created: 2016-11-22 20:04:39

Credits: M. Kirsh

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

File type: Adobe PDF

Comments: 0 | Viewed: 20 times | Downloaded: 4 times

Using Graph Kernels for Feature Generation... (1)

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This example shows how to use graph kernels for feature generation.In this example we use the Root RDF Walk Count Kernel, and the Fast RDF WL Sub Tree Kernel.The input data for the process can be found here.More information about the process can be found here.

Created: 2015-05-04 | Last updated: 2015-05-04