... soma, axon, and synapses. Dendri like input channels. These input channels r ... biological nam n, and synapses. Dendrites are hair-like extensions of the soma ... biology ances, network designers can ding of the biological brain. diose ...
Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life : Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2002), Held November 10-13, 2002, in St. Louis, Missouri, U.S.A.
... catalogue , ( e.g. what is the product being promoted ) . The concept ... storage is based on the need to create a user - friendly interface ( Tan ... catalogue . CONCLUSIONS The framework is under extensive tests in the DEEPSIA's project ...
Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life : Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2004) : Held November 7-10, 2004, in St. Louis, Missouri, U.S.A.
... diy , and it is noted that the new taxon z really represents the average of 2 original taxa . Henceforth , x and y ... SAW problems formed a “ clade ” in the problem classification in much the same manner as the numerical test problems but ...
Smart Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Rough Sets : Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '98), Held November 1-4, 1998, in St. Louis, Missouri, U.S.A.
... Test Bed ( ETB ) could be classified into two group as follow : Input variables : Speed Sp , Inlet Valve Opening Degree Vin , Exhaust Valve Opening Degree Vex , Ignition Time Ig . Output variables : Torque Tq , Break Specific Fuel ...
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
... probability of the entity's existence and orientation represents properties ... theory of neural networks and a new direction in the field of deep learning. The ... 10 [4]. Using the single CapsNet model same as [3], Xi et al. [5] reached ...
Advances in Fuzzy Logic and Technology 2017: Proceedings of: EUSFLAT- 2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN’2017 – The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland, Volume 2
... component in D. We propose an ordered weighted gradient fusion operator given by φh ( n∑i=1 ) (5) (D) = hiD ̃i,x, n∑hiD ̃i,y ... vectors with decreasing values, we can give more relevance to those ... value. The problem is that magnitude ...
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings
... map. In the most of the public places, we have a floor map sign board. But it is not easy to obtain the digital version of the map. So we decided to use just a photo of the board ... Nagoya Subway Rail Map(Right) Application. 642 N.
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II
... City subway system. In the following section, we first introduce the current status of WiFi location technologies and several features. Then ... WiFi Location Information System for Both Indoors and Outdoors 639 WiFi Location Technologies.
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
... Introduction to Time Series and Forecasting, pp. 1–219. Springer, New York (2002) Cowpertwait, P., Metcalfe, A.: Time Series. Introductory Time Series with R, pp. 2–5. Springer, Dordrecht (2009) Davey, N., Hunt, S., Frank, R.: Time Series ...
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV
... summarization model that decouples the syntactic analysis process from the ... sentence. Although this approach can theoretically handle both extractive and abstractive ... Fast abstractive summarization with reinforce-selected sentence ...
Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I
Artificial Neural Networks and Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part II
... F1-score heavily. Near 1 balanced accuracy score for both experiment setups ... 2011-0117. References 1. Ahangaryan, F.P., Mohammadpour, T., Kianisarkaleh ... (2011) 5. Brodersen, K.H., Ong, C.S., Stephan, K.E., Buhmann, J.M.: The balanced accu ...
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
... dropout layers only in the two layers just before the YOLOv3 detection ... uncertainty representing variance when detecting multiple times using MC ... Bayesian convolutional neural networks with Bernoulli approximate variational ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V
... abstractive summarization. In: Proceedings of the 58th Annual Meeting of the ... Fast abstractive summarization with reinforce-selected sentence rewriting ... abstractive summarization using inconsistency loss. In: ACL 2018: 56th Annual Meeting ...
Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I
... Introduction to Algorithms, 3rd edn. The MIT Press, Cambridge (2009) Daniel ... Newman, M.E.J.: Community structure in social and biological networks. In ... Networks: An Introduction. Oxford University Press, New York (2010) Newman ...
Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III
... training workers. This coarse-grained parallelism strategy significantly accelerates the training of network models ... Caffe, and name the FiLayer-based system as LP-Caffe. The experimental results show that speedups of 1.58×–2.19× are ...
Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II
... Dropout on an FPGA using edge computing. References 1. Feng, D., Rosenbaum, L., Dietmayer, K.: Towards safe autonomous driving: capture uncertainty in the deep neural network for Lidar 3D vehicle detection. In: 2018 21st International ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part I
... Training a neural network from scratch requires learning weights and biases for all functions f (1),..., f (L). However ... Caltech 101 and Caltech 256 - reduced image classification. The reduced version of the Caltech 256 dataset was ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part IV
... HGR applications since the parameter estimation in non-stationary processes is difficult. Therefore, machine learning (ML) and deep learning (DL) techniques are typically used to classify EMG signals [4,7]. In particular, supervised ...
Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I
... uncertainty estimation methods. We reveal that label noise has a stronger impact on the reliability of uncertainty ... Dropout as a Bayesian approximation: representing model uncertainty in deep learning. International Conference on Machine ...
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part III
... (RSB) RSN-18 26.0 27.6 Table 3. Ablation study on different modules, 1s means single-stage, Input size of backbone network is 64 × 48. Ours (Res) and Ours (RSB) mean that bottleneck is Residual block and Residual Steps Block ...
Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II
... IMDB4. The four datasets have 3,772, 10,662, 10624, 50,000 instances respectively and the positive and negative instances rates are 0.64/0.36, 0.31/0.69, 0.5/0.5,0.5/0.5. In this research, for the first three datasets, we randomly split ...
Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II
... agent training for scene graph generation. In: Proceedings of the IEEE/CVF International Conference on Computer ... Wu, Z., Ernst, J., Batra, D., Parikh, SubCrime 317 5 Conclusion References.
Artificial Neural Networks and Machine Learning - ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I
... phoneme classification is a subtask) are learned with equal learning rate ... Table 1compares the frame level articulatory feature and phoneme ... Table 1. Frame level articulatory feature and phoneme classification accuracies. 1 http ...
Artificial Neural Networks and Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part VII
... training for ASR. In: 2020 IEEE International Conference on Acoustics, Speech and ... frame- work for self-supervised learning of speech representations. In ... 1911 (2021). https://doi.org/10.1109/TASLP.2021.3082299 6. Chiu, C.C., et al ...
Artificial Neural Networks and Machine Learning – ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part V
... Customer Service Dialogue Text Shengjie Ji12 , Chun Chen1 , 2 , and Fang Kong1 , 2 ( ) Laboratory for Natural Language Processing , Soochow University , Suzhou , China { 20215227043 ... Customer Service Dialogue Text 1 Introduction.
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