Bio-Inspired Systems: Computational and Ambient Intelligence: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I

Published on: 2009-06-05
Page Count: 1356 pages
Print Type: BOOK
Categories: Computers
Maturity Rating: NOT_MATURE
Language: en
Embeddable: Yes
PDF Available: Yes
EPUB Available: No
ISBN-13: 9783642024788
ISBN-10: 3642024785
... 93–109 (2002) 4. Yin, H.: ViSOM—a novel method for multivariate data projection and structure visualization. IEEE ... UCI Machine Learning Repository. University of California, Department of Information and Computer Science, Irvine, CA (2007) ...

Related books - Readers Also Liked

Bio-Inspired Systems: Computational and Ambient Intelligence: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings

... gpus. In: Pharr, M. (ed.) GPU Gems 2, pp. 493–508. Addison-Wesley, Reading (2005) 3. CUDA: Nvidia cuda zone: programming resources, http://www.nvidia.com/object/cuda_home.html (last visit, January 2009) 4. Carpenter, G.A., Grossberg, S ...

Computational Intelligence and Bioinspired Systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings

... UCI datasets using MLPs and PPs as learning algorithms. The more complex ... 93 78.61 72.4180.78 (1.15) (0.97) (0.46) (0.75) Glass 95.71 86.8397.13 96.09 ... UCI datasets for the. 212 I. Cantador and J.R. Dorronsoro.

Artificial Neural Nets. Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3-6. Proceedings

... Gaussian units and non - RBF functions in the hidden layer . We have applied the algorithm without truncation in the Gaussian units and with only RBF unit in the hidden layer . Basically the algorithm is the following . The Gaussian ...

Computational Methods in Neural Modeling: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3-6. Proceedings

... computation was experimental proved to be valid for Fokl and extended by ... Theory Coinput. Syst. (1999) 32, 69-112 Hagiya, M.: From Molecular Computing ... Hopcroft, J.E., Ullman, J.F.: Introduction to Automata Theory, Languages and ...

Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II

... damage 29 0.6 ∗ distraced + 3 ∗ topspeed − bestlap − 0.1 ∗ damage 19 0.7 ∗ distraced + 1.5 ∗ topspeed − 0.1 ... 5 0.6∗distraced+2.5∗topspeed+0.15∗(1000−bestlap)−0.05∗damage 5 0.25 ∗ distraced + 0.25 ∗ topspeed + 0.25 ...

Advances in Computational Intelligence: 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II

... motion information. The existing architectures can be categorized into two ... UCF-101 dataset. However, the spatiotemporal features learnt could not ... mechanism within this framework, they capture global context as well [21] ...

Advances in Computational Intelligence: 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II

13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II Ignacio Rojas, Gonzalo Joya, Andreu Catala. Proposal Error rate tendency R2 NJ 2.78N + 14.72 0.99 ...

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 Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II

... types of plastic (LDPE, HDPE, PP, and PS). The hyperspectral data are preprocessed applying a Standard Normal Variate (SNV) followed by a Savitzky–Golay first derivative with a second-order polynomial. The classification stage is based ...

Foundations and Tools for Neural Modeling: International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume I

... de la Fuente . Dpto . de Administración de Empresas y Contabilidad Universidad de Oviedo . Campus de Viesques . E ... infinite height along with a list of rectangles L = ( R ,, R ,, ... , R ) with n≥1 . Each of them having a length not ...

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 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 ...

Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part III

6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 ... (PPT) in formation flying spacecraft has not been investigated in the ... a fault. An integrated FDI scheme is proposed that is composed of a “High ...

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 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings

This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011.

Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I

... NetCloud ← Net.Split(L i + 1, Last); 6 Engine Edge ← Net Edge (DataType <INT8>); 7 EngineCloud ← NetCloud (DataType <FP32>); 8 (Li, info) ← PredictPerformance(Engine Edge, EngineCloud); 9 P ← P∪(Li, info); 10 Env = GetEnvironment ...

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 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 ...

This website uses cookies and collects data for optimal performance. Your continued use signifies agreement to our Privacy Policy.