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標(biāo)題: Titlebook: Artificial Neural Networks and Machine Learning -- ICANN 2013; 23rd International C Valeri Mladenov,Petia Koprinkova-Hristova,Nikola K Conf [打印本頁]

作者: 調(diào)停    時間: 2025-3-21 18:52
書目名稱Artificial Neural Networks and Machine Learning -- ICANN 2013影響因子(影響力)




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書目名稱Artificial Neural Networks and Machine Learning -- ICANN 2013網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Neural Networks and Machine Learning -- ICANN 2013被引頻次




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書目名稱Artificial Neural Networks and Machine Learning -- ICANN 2013年度引用




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書目名稱Artificial Neural Networks and Machine Learning -- ICANN 2013讀者反饋




書目名稱Artificial Neural Networks and Machine Learning -- ICANN 2013讀者反饋學(xué)科排名





作者: 憂傷    時間: 2025-3-21 23:53
Lesarten und ‘Reading Formation’ minimal action in analytic mechanics. The proposed approach clashes sharply with common interpretations of on-line learning as an approximation of batch-mode, and it suggests that processing data all at once might be just an artificial formulation of learning that is hopeless in difficult real-world problems.
作者: 水獺    時間: 2025-3-22 00:49

作者: narcissism    時間: 2025-3-22 06:02
An Analytical Approach to Single Node Delay-Coupled Reservoir Computing in reservoir benchmark tasks, while reducing computational costs by several orders of magnitude. This has important implications with respect to electronic realizations of the reservoir and opens up new possibilities for optimization and theoretical investigation.
作者: 排名真古怪    時間: 2025-3-22 10:31
Variational Foundations of Online Backpropagation minimal action in analytic mechanics. The proposed approach clashes sharply with common interpretations of on-line learning as an approximation of batch-mode, and it suggests that processing data all at once might be just an artificial formulation of learning that is hopeless in difficult real-world problems.
作者: Bumptious    時間: 2025-3-22 16:08

作者: 美食家    時間: 2025-3-22 20:36
Conference proceedings 2013mber 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformat
作者: BAIL    時間: 2025-3-23 00:24
Conference proceedings 2013g topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.
作者: theta-waves    時間: 2025-3-23 02:46

作者: dictator    時間: 2025-3-23 08:54
https://doi.org/10.1007/978-3-658-28065-9 the effectiveness of our method, local detection of communities in synthetic benchmark networks and real social networks is examined. The community structure detected by our method is perfectly consistent with the correct community structure of these networks.
作者: 規(guī)章    時間: 2025-3-23 10:58
Als Journalist/in audiovisuell arbeiten,of super-Turing potentialities. We further provide a precise characterisation of the .-translations realised by these networks. Therefore, the consideration of evolving capabilities in a first-order neural model provides the potentiality to break the Turing barrier.
作者: 燈泡    時間: 2025-3-23 17:45

作者: 火海    時間: 2025-3-23 19:09

作者: Abduct    時間: 2025-3-24 00:41

作者: regale    時間: 2025-3-24 04:29
Local Detection of Communities by Neural-Network Dynamics the effectiveness of our method, local detection of communities in synthetic benchmark networks and real social networks is examined. The community structure detected by our method is perfectly consistent with the correct community structure of these networks.
作者: caldron    時間: 2025-3-24 07:43

作者: 憤怒事實    時間: 2025-3-24 11:23
Group Fused Lassoleading to what we call Group Fused Lasso (GFL) whose proximal operator can now be computed combining the GTV and GL proximals through Dykstra algorithm. We will illustrate how to apply GFL in strongly structured but ill-posed regression problems as well as the use of GTV to denoise colour images.
作者: 混合    時間: 2025-3-24 17:03

作者: Leaven    時間: 2025-3-24 21:56
0302-9743 l networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.978-3-642-40727-7978-3-642-40728-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 罐里有戒指    時間: 2025-3-24 23:31
0302-9743 l Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neura
作者: 煩人    時間: 2025-3-25 04:51

作者: Solace    時間: 2025-3-25 09:59

作者: 脾氣暴躁的人    時間: 2025-3-25 12:43
Fernsehaneignung und Alltagsgespr?cheowever, the multiplicative algorithms used for updating the underlying factors may result in a slow convergence of the training process. To tackle this problem, we propose to use the Spectral Projected Gradient (SPG) method that is based on quasi-Newton methods. The results are presented for image classification problems.
作者: NICE    時間: 2025-3-25 16:13

作者: Isthmus    時間: 2025-3-25 20:58
Hessian Corrected Input Noise Modelsse. The method works for arbitrary regression models, the only requirement is two times differentiability of the respective model. The conducted experiments suggest that significant improvement can be gained using the proposed method. Nevertheless, experiments on high dimensional data highlight the limitations of the algorithm.
作者: nepotism    時間: 2025-3-26 02:37
Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Diste the performance of our method, we apply it to regression problems, i.e., artificial data and actual hand motion data. Results indicate that our method can perform accurate calculation and fast approximation of GPR even if the dataset is non-uniformly distributed.
作者: Cognizance    時間: 2025-3-26 05:44
GNMF with Newton-Based Methodsowever, the multiplicative algorithms used for updating the underlying factors may result in a slow convergence of the training process. To tackle this problem, we propose to use the Spectral Projected Gradient (SPG) method that is based on quasi-Newton methods. The results are presented for image classification problems.
作者: Conflagration    時間: 2025-3-26 10:45
Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for MultiTime and batch modification of the Extended Kalman Filter are introduced. Experiments were carried out on well-known timeseries benchmarks, the Mackey-Glass chaotic process and the Santa Fe Laser Data Series. Recurrent and feed-forward neural networks were evaluated.
作者: fulcrum    時間: 2025-3-26 14:35
Moderieren, interviewen, sprechen, seven time series datasets. The results show that data reduction, even when applied on dimensionally reduced data, can in some cases improve the accuracy and at the same time reduce the computational cost of classification.
作者: Coronary-Spasm    時間: 2025-3-26 17:45

作者: 四目在模仿    時間: 2025-3-27 00:39

作者: Noctambulant    時間: 2025-3-27 03:51

作者: 糾纏,纏繞    時間: 2025-3-27 07:02

作者: wall-stress    時間: 2025-3-27 11:38

作者: RAGE    時間: 2025-3-27 16:10
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theoryenetic algorithm. The results obtained from twelve classification data sets demonstrate the efficacy of the proposed method. In average, the distributed FVQIT performs 13.56 times faster than the FVQIT and improves classification accuracy by 5.25%.
作者: 帶子    時間: 2025-3-27 18:02
Learning with Hard Constraintsh provides a description of the “optimal body of the agent”, i.e. the functional structure of the solution to the proposed learning problem. It is shown that the solution can be represented in terms of a set of “support constraints”, thus extending the well-known notion of “support vectors”.
作者: 憤憤不平    時間: 2025-3-28 01:17
Artificial Neural Networks and Machine Learning -- ICANN 2013978-3-642-40728-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: Circumscribe    時間: 2025-3-28 04:22
Fernsehaneignung und Alltagsgespr?chethe system to utilise memory efficiently, and superimposed distributed representations in order to reduce the time complexity of a tree search to .(.), where . is the depth of the tree. This new work reduces the memory required by the architecture, and can also further reduce the time complexity.
作者: medium    時間: 2025-3-28 06:26

作者: Palpable    時間: 2025-3-28 14:20

作者: 結(jié)構(gòu)    時間: 2025-3-28 15:02
https://doi.org/10.1007/978-3-658-12428-1A new model – two-layer vector perceptron – is offered. Though, comparing with a single-layer perceptron, its operation needs slightly more (by 5%) calculations and more effective computer memory, it excels in a much lower error rate (four orders of magnitude as lower).
作者: 結(jié)構(gòu)    時間: 2025-3-28 22:32

作者: PAD416    時間: 2025-3-29 00:29
Two-Layer Vector PerceptronA new model – two-layer vector perceptron – is offered. Though, comparing with a single-layer perceptron, its operation needs slightly more (by 5%) calculations and more effective computer memory, it excels in a much lower error rate (four orders of magnitude as lower).
作者: Obvious    時間: 2025-3-29 06:33
Exponential Synchronization of a Class of RNNs with Discrete and Distributed DelaysThis paper studies the exponential synchronization of RNNs. The investigations are carried out by means of Lyapunov stability method and the Halanay inequality lemma. Finally, a numerical example with graphical illustrations is given to illuminate the presented synchronization scheme.
作者: 咽下    時間: 2025-3-29 07:55

作者: 讓空氣進入    時間: 2025-3-29 14:00

作者: 浮雕寶石    時間: 2025-3-29 18:07
https://doi.org/10.1007/978-1-4613-8162-4tributed according to random walks. Its final objective is to track the dynamic evolution of some critical railway components using data acquired through embedded sensors. The parameters of the proposed algorithm are estimated by maximum likelihood via the Expectation-Maximization algorithm. In cont
作者: Ganglion    時間: 2025-3-29 20:01
https://doi.org/10.1007/978-1-4613-8162-4size. In this paper, we propose a fast approximation method for GPR using both locality-sensitive hashing and product of experts models. To investigate the performance of our method, we apply it to regression problems, i.e., artificial data and actual hand motion data. Results indicate that our meth
作者: 增長    時間: 2025-3-30 02:17
https://doi.org/10.1007/978-1-4613-8162-4ervoir of nonlinear subunits to perform history-dependent nonlinear computation. Recently, the network was replaced by a single nonlinear node, delay-coupled to itself. Instead of a spatial topology, subunits are arrayed in time along one delay span of the system. As a result, the reservoir exists o
作者: 皺痕    時間: 2025-3-30 07:42

作者: PHON    時間: 2025-3-30 08:35

作者: Pander    時間: 2025-3-30 14:49
Als Journalist/in audiovisuell arbeiten,rst-order recurrent neural networks provided with the possibility to evolve over time and involved in a basic interactive and memory active computational paradigm. In this context, we prove that the so-called . are computationally equivalent to interactive Turing machines with advice, hence capable
作者: Clumsy    時間: 2025-3-30 19:46

作者: 衣服    時間: 2025-3-30 20:56

作者: Hallowed    時間: 2025-3-31 01:42
Fernsehaneignung und Alltagsgespr?che(GNMF) incorporates the information on the data geometric structure to the training process, which considerably improves the classification results. However, the multiplicative algorithms used for updating the underlying factors may result in a slow convergence of the training process. To tackle thi
作者: Ptosis    時間: 2025-3-31 08:13
Fernsehaneignung und Alltagsgespr?chethe system to utilise memory efficiently, and superimposed distributed representations in order to reduce the time complexity of a tree search to .(.), where . is the depth of the tree. This new work reduces the memory required by the architecture, and can also further reduce the time complexity.
作者: 蓋他為秘密    時間: 2025-3-31 13:05
Fernsehaneignung und h?usliche Weltlly that it is difficult to train a DBM with approximate maximum- likelihood learning using the stochastic gradient unlike its simpler special case, restricted Boltzmann machine (RBM). In this paper, we propose a novel pretraining algorithm that consists of two stages; obtaining approximate posterio
作者: 天賦    時間: 2025-3-31 14:02

作者: 不發(fā)音    時間: 2025-3-31 20:32

作者: FAZE    時間: 2025-3-31 23:18
Wege und Werden des Fernsehens, lot of attention lately. The basic method from this field, Policy Gradients with Parameter-based Exploration, uses two samples that are symmetric around the current hypothesis to circumvent misleading reward in . reward distributed problems gathered with the usual baseline approach. The exploration
作者: 閃光東本    時間: 2025-4-1 04:50
Aufbau von Fernsehantennen aus Richtfeldern,ral networks, such as multilayer perceptrons, with tapped delay lines. Special batch calculation of derivatives called Forecasted Propagation Through Time and batch modification of the Extended Kalman Filter are introduced. Experiments were carried out on well-known timeseries benchmarks, the Mackey
作者: 沖突    時間: 2025-4-1 07:23
Aufbau von Fernsehantennen aus Richtfeldern,aints”, such as those enforcing the probabilistic normalization of a density function or imposing coherent decisions of the classifiers acting on different views of the same pattern. In contrast, supervised examples can be violated at the cost of some penalization (quantified by the choice of a suit
作者: 易于交談    時間: 2025-4-1 14:15
https://doi.org/10.1007/978-3-642-40728-4computational neuroscience; distributed learning; evolving systems; natural language processing; turing
作者: CHOKE    時間: 2025-4-1 15:24
978-3-642-40727-7Springer-Verlag Berlin Heidelberg 2013
作者: Hangar    時間: 2025-4-1 19:06





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