Search Results for author: Fisher B. Gouza

Found 7 papers, 1 papers with code

SEGEN: SAMPLE-ENSEMBLE GENETIC EVOLUTIONARY NETWORK MODEL

no code implementations ICLR 2019 Jiawei Zhang, Limeng Cui, Fisher B. Gouza

Deep learning, a rebranding of deep neural network research works, has achieved a remarkable success in recent years.

Ensemble Learning Representation Learning

On Deep Ensemble Learning from a Function Approximation Perspective

no code implementations19 May 2018 Jiawei Zhang, Limeng Cui, Fisher B. Gouza

In this paper, we propose to provide a general ensemble learning framework based on deep learning models.

Ensemble Learning

GEN Model: An Alternative Approach to Deep Neural Network Models

no code implementations19 May 2018 Jiawei Zhang, Limeng Cui, Fisher B. Gouza

In this paper, we introduce an alternative approach, namely GEN (Genetic Evolution Network) Model, to the deep learning models.

Representation Learning

Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models

no code implementations19 May 2018 Jiawei Zhang, Limeng Cui, Fisher B. Gouza

In this paper, we aim at introducing a new machine learning model, namely reconciled polynomial machine, which can provide a unified representation of existing shallow and deep machine learning models.

BIG-bench Machine Learning

GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization

no code implementations19 May 2018 Jiawei Zhang, Fisher B. Gouza

Deep neural network learning can be formulated as a non-convex optimization problem.

SEGEN: Sample-Ensemble Genetic Evolutional Network Model

1 code implementation23 Mar 2018 Jiawei Zhang, Limeng Cui, Fisher B. Gouza

Deep learning, a rebranding of deep neural network research works, has achieved a remarkable success in recent years.

Ensemble Learning Representation Learning

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