Neural Information Processing - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319466743, 9783319466750

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A Wavelet Deep Belief Network-Based Classifier for Medical Images

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_51 ◽

2016 ◽

pp. 467-474 ◽

Cited By ~ 12

Author(s):

Amin Khatami ◽

Abbas Khosravi ◽

Chee Peng Lim ◽

Saeid Nahavandi

Keyword(s):

Medical Images ◽

Deep Belief Network ◽

Belief Network

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Scaled Conjugate Gradient Learning for Quaternion-Valued Neural Networks

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_27 ◽

2016 ◽

pp. 243-252 ◽

Cited By ~ 3

Author(s):

Călin-Adrian Popa

Keyword(s):

Neural Networks ◽

Conjugate Gradient ◽

Scaled Conjugate Gradient ◽

Gradient Learning

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Fuzzy String Matching Using Sentence Embedding Algorithms

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_69 ◽

2016 ◽

pp. 626-633

Author(s):

Yu Rong ◽

Xiaolin Hu

Keyword(s):

String Matching

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Learning Class-Informed Semantic Similarity

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_48 ◽

2016 ◽

pp. 442-449

Author(s):

Tinghua Wang ◽

Wei Li

Keyword(s):

Semantic Similarity

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Fast Agglomerative Information Bottleneck Based Trajectory Clustering

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_46 ◽

2016 ◽

pp. 425-433

Author(s):

Yuejun Guo ◽

Qing Xu ◽

Yang Fan ◽

Sheng Liang ◽

Mateu Sbert

Keyword(s):

Trajectory Clustering ◽

Information Bottleneck

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A Non-linear Label Compression Coding Method Based on Five-Layer Auto-Encoder for Multi-label Classification

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_45 ◽

2016 ◽

pp. 415-424 ◽

Cited By ~ 1

Author(s):

Jiapeng Luo ◽

Lei Cao ◽

Jianhua Xu

Keyword(s):

Coding Method ◽

Non Linear ◽

Compression Coding

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Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_21 ◽

2016 ◽

pp. 185-192

Author(s):

Bo Zhao ◽

Ding Wang ◽

Guang Shi ◽

Derong Liu ◽

Yuanchun Li

Keyword(s):

Nonlinear Systems ◽

Decentralized Stabilization

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L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_2 ◽

2016 ◽

pp. 12-19 ◽

Cited By ~ 1

Author(s):

Meiling Xu ◽

Min Han ◽

Shunshoku Kanae

Keyword(s):

Time Series ◽

Time Series Prediction ◽

Chaotic Time Series ◽

Echo State Network ◽

Chaotic Time Series Prediction

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Sparse Auto-encoder with Smoothed $$l_1$$ Regularization

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_61 ◽

2016 ◽

pp. 555-563

Author(s):

Li Zhang ◽

Yaping Lu ◽

Zhao Zhang ◽

Bangjun Wang ◽

Fanzhang Li

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Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_23 ◽

2016 ◽

pp. 202-210

Author(s):

Kazuyoshi Kato ◽

Koichiro Yamauchi

Keyword(s):

Reinforcement Learning ◽

Learning Scheme ◽

Risk Sensitive

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Neural Information Processing - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Wavelet Deep Belief Network-Based Classifier for Medical Images

Scaled Conjugate Gradient Learning for Quaternion-Valued Neural Networks

Fuzzy String Matching Using Sentence Embedding Algorithms

Learning Class-Informed Semantic Similarity

Fast Agglomerative Information Bottleneck Based Trajectory Clustering

A Non-linear Label Compression Coding Method Based on Five-Layer Auto-Encoder for Multi-label Classification

Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections

L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction

Sparse Auto-encoder with Smoothed $$l_1$$ Regularization

Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget

Neural Information Processing - Lecture Notes in Computer Science
Latest Publications