Intelligent Database Systems Lab Presenter: Wu, Jhen-Wei Authors: Fabian Bürger, Josef Pauli 2015....

transcript

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

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.

Objectives

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

Intelligent Database Systems Lab5

Methods

ES: (μ/ρ+λ)

Experiments

Conclusions

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

Comments

• Contribution– Present a novel automatic optimization

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

• Applications– Evolutionary Optimization, Classification

Documents