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Proceedings of the 1993 Connectionist Models Summer School (Papers)

By Michael C. Mozer, Paul Smolensky, David S. Touretzky, Jeffrey L. Elman

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Evolutionary Deep Learning (Genetic Algorithms and Neural Networks)

By Lanham, Michael

Evolutionary Deep Learning (Genetic Algorithms and Neural Networks)

By Lanham, Michael

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Minds and Machines (Connectionism and Psychological Modeling)

By Michael R. W. Dawson

Minds and Machines (Connectionism and Psychological Modeling)

By Michael R. W. Dawson

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The Handbook of Information Systems Research

By Michael E. Whitman, Amy B. Woszczynski, Amy B. Woszczynski

The Handbook of Information Systems Research

By Michael E. Whitman, Amy B. Woszczynski, Amy B. Woszczynski

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Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part II (Lecture Notes in Computer Science))

By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part II (Lecture Notes in Computer Science))

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By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part III (Lecture Notes in Computer Science))

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Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IV (Lecture Notes in Computer Science))

By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

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Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part V (Lecture Notes in Computer Science))

By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

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Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VI (Lecture Notes in Computer Science))

By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

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Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VII (Lecture Notes in Computer Science))

By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

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Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII (Lecture Notes in Computer Science))

By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

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Artificial Neural Networks and Machine Learning – ICANN 2024 (33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part X (Lecture Notes in Computer Science))

By Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

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Neuroscience (From Neural Networks to Artificial Intelligence: Proceedings of a U.S.-Mexico Seminar held in the city of Xalapa in the state of Veracruz on December 9-11, 1991 (Research Notes in Neural Computing))

By Pablo Rudomin, Michael A. Arbib, Francisco Cervantes-Perez, Ranulfo Romo

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£88.90

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By Erzsebet Merenyi, Michael J. Mendenhall, Patrick O'Driscoll

Advances in Self-Organizing Maps and Learning Vector Quantization (Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 (Advances in Intelligent Systems and Computing))

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£130

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By Steven Davis

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Cellular Computing (Genomics & Bioinformatics S.)

By Hanawalt, Barbara, Amos, Martyn

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Cellular Computing (Genomics & Bioinformatics S.)

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Deep Learning Illustrated (A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series))

By Krohn, Jon, Beyleveld, Grant, Aglaé Bassens

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On-line Learning in Neural Networks (Publications of the Newton Institute)

By David Saad

On-line Learning in Neural Networks (Publications of the Newton Institute)

By David Saad

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