Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319912523, 9783319912530

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Extreme Value Model for Volatility Measure in Machine Learning Ensemble

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_24 ◽

2018 ◽

pp. 247-256 ◽

Cited By ~ 1

Author(s):

Ryszard Szupiluk ◽

Paweł Rubach

Keyword(s):

Machine Learning ◽

Extreme Value ◽

Extreme Value Model ◽

Value Model

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Multi-step Time Series Forecasting of Electric Load Using Machine Learning Models

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_15 ◽

2018 ◽

pp. 148-159 ◽

Cited By ~ 7

Author(s):

Shamsul Masum ◽

Ying Liu ◽

John Chiverton

Keyword(s):

Machine Learning ◽

Time Series ◽

Time Series Forecasting ◽

Electric Load ◽

Learning Models ◽

Machine Learning Models

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Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive Agent

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_17 ◽

2018 ◽

pp. 170-182

Author(s):

Piotr Papiez ◽

Adrian Horzyk

Keyword(s):

Reinforcement Learning ◽

Cognitive Agent

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Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_23 ◽

2018 ◽

pp. 235-246 ◽

Cited By ~ 3

Author(s):

James S. Smith ◽

Bogdan M. Wilamowski

Keyword(s):

Neural Networks ◽

Discrete Cosine Transform ◽

Convolutional Neural Networks ◽

Cosine Transform

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Evolutionary Induction of Classification Trees on Spark

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_48 ◽

2018 ◽

pp. 514-523 ◽

Cited By ~ 3

Author(s):

Daniel Reska ◽

Krzysztof Jurczuk ◽

Marek Kretowski

Keyword(s):

Classification Trees

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Feature Selection Using Differential Evolution for Unsupervised Image Clustering

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_35 ◽

2018 ◽

pp. 376-385

Author(s):

Matheus Gutoski ◽

Manassés Ribeiro ◽

Nelson Marcelo Romero Aquino ◽

Leandro Takeshi Hattori ◽

André Eugênio Lazzaretti ◽

...

Keyword(s):

Feature Selection ◽

Differential Evolution ◽

Image Clustering

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Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_26 ◽

2018 ◽

pp. 267-276

Author(s):

Roman Zajdel ◽

Maciej Kusy

Keyword(s):

Reinforcement Learning ◽

Network Architecture ◽

Deep Network ◽

Stacked Autoencoder ◽

Architecture Optimization

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Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_38 ◽

2018 ◽

pp. 405-416 ◽

Cited By ~ 4

Author(s):

Tomas Kadavy ◽

Michal Pluhacek ◽

Adam Viktorin ◽

Roman Senkerik

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm ◽

Optimization Techniques ◽

Swarm Optimization

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On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_3 ◽

2018 ◽

pp. 25-34

Author(s):

Jinde Cao ◽

Leszek Rutkowski

Keyword(s):

Neural Networks ◽

Global Convergence ◽

Streaming Data ◽

Generalized Regression Neural Networks ◽

Generalized Regression

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Deep Networks with RBF Layers to Prevent Adversarial Examples

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_25 ◽

2018 ◽

pp. 257-266

Author(s):

Petra Vidnerová ◽

Roman Neruda

Keyword(s):

Deep Networks ◽

Adversarial Examples

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Artificial Intelligence and Soft Computing - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Extreme Value Model for Volatility Measure in Machine Learning Ensemble

Multi-step Time Series Forecasting of Electric Load Using Machine Learning Models

Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive Agent

Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks

Evolutionary Induction of Classification Trees on Spark

Feature Selection Using Differential Evolution for Unsupervised Image Clustering

Application of Reinforcement Learning to Stacked Autoencoder Deep Network Architecture Optimization

Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques

On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data

Deep Networks with RBF Layers to Prevent Adversarial Examples

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science
Latest Publications