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Ontology learning and population from from text

Ontology learning and population from from text. Ch8 Population. Population. Population of ontology: Finding instances of relations as well as of concepts Requires full understanding of natural language More modest target: The extraction of a set of predefined relations In this chapter:

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Tolga Can and Yuan-Fang Wang

CTSS: A Robust and Efficient Method for Protein Structure Alignment Based on Local Geometrical and Biological Features. Tolga Can and Yuan-Fang Wang. Introduction. Importance of discovering structural relationships between proteins Structural Alignment: NP-Hard

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Introduction to Machine Learning

Amit Sethi , EEE, IIT G @ Cepstrum , Oct 16, 2011. Introduction to Machine Learning. A high-level view of Machine Learning. Objectives: Understand what is machine learning Motivate why it has become so important Identify Types of learning and salient frameworks, algorithms and their utility

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Different similarity measures - PowerPoint PPT Presentation

Ontology learning and population from from text

Tolga Can and Yuan-Fang Wang

Introduction to Machine Learning