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Showing 1 - 13 of
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Artificial Neural Networks and Machine Learning -- ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings (Paperback, 2014 ed.)
Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, …
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R1,739
Discovery Miles 17 390
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Ships in 10 - 15 working days
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The book constitutes the proceedings of the 24th International
Conference on Artificial Neural Networks, ICANN 2014, held in
Hamburg, Germany, in September 2014. The 107 papers included in the
proceedings were carefully reviewed and selected from 173
submissions. The focus of the papers is on following topics:
recurrent networks; competitive learning and self-organisation;
clustering and classification; trees and graphs; human-machine
interaction; deep networks; theory; reinforcement learning and
action; vision; supervised learning; dynamical models and time
series; neuroscience; and applications.
This book presents research performed as part of the EU project on
biomimetic multimodal learning in a mirror neuron-based robot
(MirrorBot) and contri- tions presented at the International
AI-Workshop on NeuroBotics. The ov- all aim of the book is to
present a broad spectrum of current research into biomimetic neural
learning for intelligent autonomous robots. There is a need for a
new type of robot which is inspired by nature and so performs in a
more ?exible learned manner than current robots. This new type of
robot is driven by recent new theories and experiments in
neuroscience indicating that a biological and neuroscience-oriented
approach could lead to new life-like robotic systems. The book
focuses on some of the research progress made in the MirrorBot
project which uses concepts from mirror neurons as a basis for the
integration of vision, language and action. In this book we show
the development of new techniques using cell assemblies,
associative neural networks, and Hebbian-type learning in order to
associate vision, language and motor concepts. We have developed
biomimetic multimodal learning and language instruction in a robot
to investigate the task ofsearching for objects. As well as the
researchperformed in this area for the MirrorBot project, the
second part of this book incorporates signi?cant contributions from
other research in the ?eld of biomimetic robotics. This second part
of the book concentrates on the progress made in neuroscience
inspired robotic learning approaches (in short: NeuroBotics).
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems.The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.
This book is based on the workshop on New Approaches to Learning
for Natural Language Processing, held in conjunction with the
International Joint Conference on Artificial Intelligence,
IJCAI'95, in Montreal, Canada in August 1995.
Most of the 32 papers included in the book are revised selected
workshop presentations; some papers were individually solicited
from members of the workshop program committee to give the book an
overall completeness. Also included, and written with the novice
reader in mind, is a comprehensive introductory survey by the
volume editors. The volume presents the state of the art in the
most promising current approaches to learning for NLP and is thus
compulsory reading for researchers in the field or for anyone
applying the new techniques to challenging real-world NLP problems.
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Cognitive Systems and Information Processing - 6th International Conference, ICCSIP 2021, Suzhou, China, November 20-21, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
Fuchun Sun, Dewen Hu, Stefan Wermter, Lei Yang, Huaping Liu, …
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R3,041
Discovery Miles 30 410
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Ships in 10 - 15 working days
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This book constitutes the refereed post-conference proceedings of
the 6th International Conference on Cognitive Systems and Signal
Processing, ICCSIP 2021, held in Suzhou, China, in November
2021.The 41 revised papers presented were carefully reviewed and
selected from 105 submissions. The papers are organized in topical
sections on algorithm; vision; and robotics and application.
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Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV (Paperback, 1st ed. 2021)
Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
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R3,095
Discovery Miles 30 950
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Ships in 10 - 15 working days
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The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894
and LNCS 12895 constitute the proceedings of the 30th International
Conference on Artificial Neural Networks, ICANN 2021, held in
Bratislava, Slovakia, in September 2021.* The total of 265 full
papers presented in these proceedings was carefully reviewed and
selected from 496 submissions, and organized in 5 volumes. In this
volume, the papers focus on topics such as model compression,
multi-task and multi-label learning, neural network theory,
normalization and regularization methods, person re-identification,
recurrent neural networks, and reinforcement learning. *The
conference was held online 2021 due to the COVID-19 pandemic.
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Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II (Paperback, 1st ed. 2021)
Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
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R3,077
Discovery Miles 30 770
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Ships in 10 - 15 working days
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The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894
and LNCS 12895 constitute the proceedings of the 30th International
Conference on Artificial Neural Networks, ICANN 2021, held in
Bratislava, Slovakia, in September 2021.* The total of 265 full
papers presented in these proceedings was carefully reviewed and
selected from 496 submissions, and organized in 5 volumes. In this
volume, the papers focus on topics such as computer vision and
object detection, convolutional neural networks and kernel methods,
deep learning and optimization, distributed and continual learning,
explainable methods, few-shot learning and generative adversarial
networks. *The conference was held online 2021 due to the COVID-19
pandemic.
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Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I (Paperback, 1st ed. 2021)
Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
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R3,322
Discovery Miles 33 220
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Ships in 10 - 15 working days
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The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894
and LNCS 12895 constitute the proceedings of the 30th International
Conference on Artificial Neural Networks, ICANN 2021, held in
Bratislava, Slovakia, in September 2021.* The total of 265 full
papers presented in these proceedings was carefully reviewed and
selected from 496 submissions, and organized in 5 volumes. In this
volume, the papers focus on topics such as adversarial machine
learning, anomaly detection, attention and transformers, audio and
multimodal applications, bioinformatics and biosignal analysis,
capsule networks and cognitive models. *The conference was held
online 2021 due to the COVID-19 pandemic.
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Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V (Paperback, 1st ed. 2021)
Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
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R3,091
Discovery Miles 30 910
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Ships in 10 - 15 working days
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The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894
and LNCS 12895 constitute the proceedings of the 30th International
Conference on Artificial Neural Networks, ICANN 2021, held in
Bratislava, Slovakia, in September 2021.* The total of 265 full
papers presented in these proceedings was carefully reviewed and
selected from 496 submissions, and organized in 5 volumes. In this
volume, the papers focus on topics such as representation learning,
reservoir computing, semi- and unsupervised learning, spiking
neural networks, text understanding, transfers and meta learning,
and video processing. *The conference was held online 2021 due to
the COVID-19 pandemic.
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Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III (Paperback, 1st ed. 2021)
Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
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R3,092
Discovery Miles 30 920
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Ships in 10 - 15 working days
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The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894
and LNCS 12895 constitute the proceedings of the 30th International
Conference on Artificial Neural Networks, ICANN 2021, held in
Bratislava, Slovakia, in September 2021.* The total of 265 full
papers presented in these proceedings was carefully reviewed and
selected from 496 submissions, and organized in 5 volumes. In this
volume, the papers focus on topics such as generative neural
networks, graph neural networks, hierarchical and ensemble models,
human pose estimation, image processing, image segmentation,
knowledge distillation, and medical image processing. *The
conference was held online 2021 due to the COVID-19 pandemic.
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Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II (Paperback, 1st ed. 2020)
Igor Farkas, Paolo Masulli, Stefan Wermter
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R3,154
Discovery Miles 31 540
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Ships in 10 - 15 working days
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The proceedings set LNCS 12396 and 12397 constitute the proceedings
of the 29th International Conference on Artificial Neural Networks,
ICANN 2020, held in Bratislava, Slovakia, in September 2020.*The
total of 139 full papers presented in these proceedings was
carefully reviewed and selected from 249 submissions. They were
organized in 2 volumes focusing on topics such as adversarial
machine learning, bioinformatics and biosignal analysis, cognitive
models, neural network theory and information theoretic learning,
and robotics and neural models of perception and action. *The
conference was postponed to 2021 due to the COVID-19 pandemic.
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Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I (Paperback, 1st ed. 2020)
Igor Farkas, Paolo Masulli, Stefan Wermter
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R3,154
Discovery Miles 31 540
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Ships in 10 - 15 working days
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The proceedings set LNCS 12396 and 12397 constitute the proceedings
of the 29th International Conference on Artificial Neural Networks,
ICANN 2020, held in Bratislava, Slovakia, in September 2020.*The
total of 139 full papers presented in these proceedings was
carefully reviewed and selected from 249 submissions. They were
organized in 2 volumes focusing on topics such as adversarial
machine learning, bioinformatics and biosignal analysis, cognitive
models, neural network theory and information theoretic learning,
and robotics and neural models of perception and action. *The
conference was postponed to 2021 due to the COVID-19 pandemic.
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