Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science
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9783319686110, 9783319686127

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Chinese Lexical Normalization Based on Information Extraction: An Experimental Study

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_25 ◽

2017 ◽

pp. 216-223

Author(s):

Tian Tian ◽

WeiRan Xu

Keyword(s):

Experimental Study ◽

Information Extraction

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Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_54 ◽

2017 ◽

pp. 477-485 ◽

Cited By ~ 2

Author(s):

Chandrakant Bothe ◽

Sven Magg ◽

Cornelius Weber ◽

Stefan Wermter

Keyword(s):

Neural Learning

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Two Alternative Criteria for a Split-Merge MCMC on Dirichlet Process Mixture Models

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_76 ◽

2017 ◽

pp. 672-679

Author(s):

Tikara Hosino

Keyword(s):

Mixture Models ◽

Dirichlet Process ◽

Dirichlet Process Mixture ◽

Dirichlet Process Mixture Models

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Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_39 ◽

2017 ◽

pp. 340-348 ◽

Cited By ~ 2

Author(s):

Guangxia Wang ◽

Changqing Zhang ◽

Pengfei Zhu ◽

Qinghua Hu

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix

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Winograd Algorithm for 3D Convolution Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_69 ◽

2017 ◽

pp. 609-616 ◽

Cited By ~ 1

Author(s):

Zelong Wang ◽

Qiang Lan ◽

Hongjun He ◽

Chunyuan Zhang

Keyword(s):

Neural Networks ◽

Convolution Neural Networks

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Spiking Convolutional Deep Belief Networks

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_1 ◽

2017 ◽

pp. 3-11 ◽

Cited By ~ 6

Author(s):

Jacques Kaiser ◽

David Zimmerer ◽

J. Camilo Vasquez Tieck ◽

Stefan Ulbrich ◽

Arne Roennau ◽

...

Keyword(s):

Belief Networks ◽

Deep Belief Networks

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A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_73 ◽

2017 ◽

pp. 643-651 ◽

Cited By ~ 1

Author(s):

Adrian Ion-Mărgineanu ◽

Gabriel Kocevar ◽

Claudio Stamile ◽

Diana M. Sima ◽

Françoise Durand-Dubief ◽

...

Keyword(s):

Machine Learning ◽

Multiple Sclerosis ◽

Learning Approaches

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PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_47 ◽

2017 ◽

pp. 411-419 ◽

Cited By ~ 2

Author(s):

Ramalingaswamy Cheruku ◽

Damodar Reddy Edla ◽

Venkatanareshbabu Kuppili ◽

Ramesh Dharavath

Keyword(s):

Clustering Approach

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A Priori Reliability Prediction with Meta-Learning Based on Context Information

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_23 ◽

2017 ◽

pp. 200-207

Author(s):

Jennifer Kreger ◽

Lydia Fischer ◽

Stephan Hasler ◽

Thomas H. Weisswange ◽

Ute Bauer-Wersing

Keyword(s):

A Priori ◽

Reliability Prediction ◽

Context Information ◽

Meta Learning

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On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_46 ◽

2017 ◽

pp. 402-410

Author(s):

Ricardo A. M. da Silva ◽

Francisco de A. T. de Carvalho

Keyword(s):

Linear Regression ◽

Explanatory Variables ◽

Clusterwise Linear Regression

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Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Chinese Lexical Normalization Based on Information Extraction: An Experimental Study

Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance

Two Alternative Criteria for a Split-Merge MCMC on Dirichlet Process Mixture Models

Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization

Winograd Algorithm for 3D Convolution Neural Networks

Spiking Convolutional Deep Belief Networks

A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations

PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data

A Priori Reliability Prediction with Meta-Learning Based on Context Information

On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science
Latest Publications