intelligent database systems lab presenter: wu, jhen-wei authors: fabian bürger, josef pauli 2015....

Intelligent Database Systems Lab

Presenter: Wu, Jhen-WeiAuthors: Fabian Bürger, Josef Pauli2015. ICPRAM.

Representation Optimization with Feature Selection and Manifold

Learning in a Holistic Classification Framework


Outlines

MotivationObjectivesMethodsExperimentsConclusionsComments

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Motivation

• The performance of a manifold learner heavily depends on the dataset.

• A recent research regarding the dimension reduction is turned out to be relatively slow and ineffective for high-dimensional datasets.

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Objectives

• Develop a framework that incorporates multiple manifold learning algorithms in a holistic classification pipeline.

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Intelligent Database Systems Lab5

Methods


Methods


Methods

ES: (μ/ρ+λ)


Experiments


Conclusions

• The concept of multi-pipeline classifiers offers a better performance, but comes along with higher computational costs.

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Comments

• Contribution– Present a novel automatic optimization

framework that incorporates multiple manifold learning algorithms in a holistic classification pipeline.

• Applications– Evolutionary Optimization, Classification

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intelligent database systems lab presenter: wu, jhen-wei authors: fabian bürger, josef pauli 2015....

Documents

methods es

manifold learner

representation optimization

pipeline classifiers

better performance

jhenwei authors

concept of

fabian brger