Neural Information Processing - Lecture Notes in Computer Science
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70

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Published By Springer International Publishing

9783319466743, 9783319466750

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

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 ◽

Author(s):

Jiapeng Luo ◽

Lei Cao ◽

Jianhua Xu

Keyword(s):

Coding Method ◽

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 ◽

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 ◽

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Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_4 ◽

2016 ◽

pp. 30-37 ◽

Author(s):

Takaomi Hirata ◽

Takashi Kuremoto ◽

Masanao Obayashi ◽

Shingo Mabu ◽

Kunikazu Kobayashi

Keyword(s):

Time Series ◽

Reinforcement Learning ◽

Time Series Forecasting ◽

Deep Belief Network ◽

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Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_16 ◽

2016 ◽

pp. 140-147 ◽

Author(s):

Xuan Li ◽

Zilan Hu ◽

Haixian Wang

Keyword(s):

Community Structure ◽

Matrix Factorization ◽

Functional Network ◽

Brain Functional Network ◽

Structure Detection ◽

Overlapping Community ◽

Non Negative Matrix Factorization

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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 ◽

Author(s):

Amin Khatami ◽

Abbas Khosravi ◽

Chee Peng Lim ◽

Saeid Nahavandi

Keyword(s):

Medical Images ◽

Deep Belief Network ◽

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