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Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2018; 27th International C Věra K?rková,Yannis Manolopoulos,Ilias Maglogianni Confe

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51#
發(fā)表于 2025-3-30 09:37:27 | 只看該作者
Neural Model for the Visual Recognition of Animacy and Social Interactionproposed that this capability is based on high-level cognitive processes, such as probabilistic reasoning, we demonstrate that it might be accounted for also by rather simple physiologically plausible neural mechanisms. Our model is a hierarchical neural network architecture with two pathways that a
52#
發(fā)表于 2025-3-30 13:29:53 | 只看該作者
53#
發(fā)表于 2025-3-30 18:37:47 | 只看該作者
0302-9743 works, ICANN 2018, held in Rhodes, Greece, in October 2018...The papers presented in these volumes was carefully reviewed and selected from? total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing,
54#
發(fā)表于 2025-3-31 00:32:45 | 只看該作者
55#
發(fā)表于 2025-3-31 01:37:41 | 只看該作者
Interactive Area Topics Extraction with Policy Gradient-to-end framework to use interaction with users. In particular, we use recurrent neural network (RNN) decoder to address the problem and policy gradient method to tune the model parameters considering user feedback. Experimental result has shown the effectiveness of the proposed framework.
56#
發(fā)表于 2025-3-31 08:34:24 | 只看該作者
Conference proceedings 2018NN 2018, held in Rhodes, Greece, in October 2018...The papers presented in these volumes was carefully reviewed and selected from? total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic C
57#
發(fā)表于 2025-3-31 10:36:27 | 只看該作者
58#
發(fā)表于 2025-3-31 15:30:59 | 只看該作者
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發(fā)表于 2025-3-31 20:02:55 | 只看該作者
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發(fā)表于 2025-4-1 00:34:29 | 只看該作者
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