標(biāo)題: Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2018; 27th International C Věra K?rková,Yannis Manolopoulos,Ilias Maglogianni Confe [打印本頁] 作者: VER 時間: 2025-3-21 19:21
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018影響因子(影響力)
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書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018被引頻次
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書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018讀者反饋
書目名稱Artificial Neural Networks and Machine Learning – ICANN 2018讀者反饋學(xué)科排名
作者: 不公開 時間: 2025-3-21 20:35 作者: monologue 時間: 2025-3-22 03:34 作者: nonplus 時間: 2025-3-22 06:18
0302-9743 Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detecti978-3-030-01423-0978-3-030-01424-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 松馳 時間: 2025-3-22 12:15 作者: 內(nèi)疚 時間: 2025-3-22 14:36 作者: 換話題 時間: 2025-3-22 19:38
A RNN-Based Multi-factors Model for Repeat Consumption Prediction behavior, and found that the MF-RNN gets better performance than non-factor RNN. Besides, we analyzed the differences in consumption behaviors between different cities and different regions in China.作者: 脊椎動物 時間: 2025-3-23 01:13
Neural Model for the Visual Recognition of Animacy and Social Interactionture. For the generation of training data we propose a novel algorithm that is derived from dynamic human navigation models, and which allows to generate arbitrary numbers of abstract social interaction stimuli by self-organization.作者: Mendicant 時間: 2025-3-23 01:38
Wolfgang Hoffmann-Riem,Stefan Engelsng problems. In particular, we consider settings of partial observability and leverage the short-term memory capabilities of echo state networks (ESNs) to learn parameterized control policies. Using SPSA, we propose three different variants to adapt the weight matrices of an ESN to the task at hand.作者: 謊言 時間: 2025-3-23 06:02 作者: 植物學(xué) 時間: 2025-3-23 11:32
Verfassungsrechtliche Problemstellungersonalized to the patient at hand. In this paper we present a new recurrent neural network model for personalized survival analysis called .. Our model is able to exploit censored data to compute both the risk score and the survival function of each patient. At each time step, the network takes as 作者: 拖網(wǎng) 時間: 2025-3-23 17:47 作者: CONE 時間: 2025-3-23 18:06
Klaus Neumann-Braun,Jens R. Erichsene priors about the problem into the network. But understanding how weight-sharing can be used effectively in general is a topic that has not been studied extensively. Chen et al.?[.] proposed HashedNets, which augments a multi-layer perceptron with a hash table, as a method for neural network compre作者: forebear 時間: 2025-3-23 22:56 作者: 卜聞 時間: 2025-3-24 05:54 作者: 檔案 時間: 2025-3-24 08:53
https://doi.org/10.1007/978-3-322-80382-5ooperating units in this function. Recent evidence sheds new light on astrocytes and presents them as important regulators of neuronal activity and synaptic plasticity. In this paper, we present a multi-layer perceptron (MLP) with artificial astrocyte units which listen to and regulate hidden neuron作者: adj憂郁的 時間: 2025-3-24 13:33 作者: 自作多情 時間: 2025-3-24 17:43
Mike Friedrichsen,Syster Friedrichsen from memory by introducing an external memory unit. NTMs have demonstrated superior performance over Long Short-Term Memory Cells in several sequence learning tasks. A number of open source implementations of NTMs exist but are unstable during training and/or fail to replicate the reported performa作者: Culmination 時間: 2025-3-24 22:51 作者: 鞭子 時間: 2025-3-25 02:41
,Relationale und differentielle Serialit?t,mal leaky integrator. In general, fractional-order derivative needs all memories leading to the current state from the initial state. Although this feature is useful as a viewpoint of memory capacity, to keep all memories is intractable, in particular, for reservoir computing with many neurons. A re作者: 污穢 時間: 2025-3-25 06:20
https://doi.org/10.1007/978-3-642-47931-1 When these representations, also known as “embeddings”, are learned from unsupervised large corpora, they can be transferred to different tasks with positive effects in terms of performances, especially when only a few supervisions are available. In this work, we further extend this concept, and we作者: 刺穿 時間: 2025-3-25 10:26 作者: 季雨 時間: 2025-3-25 12:23
Schlu?folgerungen und Empfehlungenhigh precision, to tasks that require a lot of force. For a long time researchers have been studying the biomechanics of the human hand, to reproduce it in robotic hands to be used as a prosthesis in humans, in the replacement of limbs lost or used in robots. In this study, we present the implementa作者: Limited 時間: 2025-3-25 18:00
Rainer Ommerborn,Rudolf Schuemernot been evaluated for the effectiveness at different layers and dropout rates in NLI models. In this paper, we propose a novel RNN model for NLI and empirically evaluate the effect of applying dropout at different layers in the model. We also investigate the impact of varying dropout rates at these作者: 怎樣才咆哮 時間: 2025-3-25 20:48 作者: Carcinoma 時間: 2025-3-26 01:14
Methodik und Durchführung der Befragung. Unlike other joint models dividing the joint task into two sub-models by sharing parameters, we explore a tagging strategy to incorporate the intent detection task and word slot extraction task in a sequence labeling model. We implemented experiments on a public dataset and the results show that t作者: 煩人 時間: 2025-3-26 05:11
Artificial Neural Networks and Machine Learning – ICANN 2018978-3-030-01424-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Visual-Field 時間: 2025-3-26 10:33
Wolfgang Hoffmann-Riem,Stefan Engelsachines can be trained using Frank-Wolfe optimization which in turn can be seen as a form of reservoir computing, we obtain a model that is of simpler structure and can be implemented more easily than those proposed in previous contributions.作者: 恫嚇 時間: 2025-3-26 16:11
https://doi.org/10.1007/978-3-642-47931-1 timing, pitch accuracy and pattern generalization for automated music generation when processing raw audio data. To this end, we present a proof of concept and build a recurrent neural network architecture capable of generalizing appropriate musical raw audio tracks.作者: 你不公正 時間: 2025-3-26 19:10 作者: encyclopedia 時間: 2025-3-26 22:49
978-3-030-01423-0Springer Nature Switzerland AG 2018作者: 爵士樂 時間: 2025-3-27 04:15
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162643.jpg作者: 彈藥 時間: 2025-3-27 05:36
Simple Recurrent Neural Networks for Support Vector Machine Trainingachines can be trained using Frank-Wolfe optimization which in turn can be seen as a form of reservoir computing, we obtain a model that is of simpler structure and can be implemented more easily than those proposed in previous contributions.作者: Proclaim 時間: 2025-3-27 10:25
Towards End-to-End Raw Audio Music Synthesis timing, pitch accuracy and pattern generalization for automated music generation when processing raw audio data. To this end, we present a proof of concept and build a recurrent neural network architecture capable of generalizing appropriate musical raw audio tracks.作者: 大喘氣 時間: 2025-3-27 17:04 作者: Modicum 時間: 2025-3-27 20:05
Simple Recurrent Neural Networks for Support Vector Machine Trainingachines can be trained using Frank-Wolfe optimization which in turn can be seen as a form of reservoir computing, we obtain a model that is of simpler structure and can be implemented more easily than those proposed in previous contributions.作者: BARB 時間: 2025-3-27 22:23
RNN-SURV: A Deep Recurrent Model for Survival Analysisersonalized to the patient at hand. In this paper we present a new recurrent neural network model for personalized survival analysis called .. Our model is able to exploit censored data to compute both the risk score and the survival function of each patient. At each time step, the network takes as 作者: 謙卑 時間: 2025-3-28 05:24 作者: 焦慮 時間: 2025-3-28 09:22 作者: 千篇一律 時間: 2025-3-28 14:12
Neural Networks with Block Diagonal Inner Product Layershat are block diagonal, turning a single fully connected layer into a set of densely connected neuron groups. This idea is a natural extension of group, or depthwise separable, convolutional layers applied to the fully connected layers. Block diagonal inner product layers can be achieved by either i作者: chuckle 時間: 2025-3-28 18:18
Training Neural Networks Using Predictor-Corrector Gradient Descentcent (PCGD). PCGD uses predictor-corrector inspired techniques to enhance gradient descent. This method uses a sparse history of network parameter values to make periodic predictions of future parameter values in an effort to skip unnecessary training iterations. This method can cut the number of tr作者: sacrum 時間: 2025-3-28 21:06
Investigating the Role of Astrocyte Units in a Feedforward Neural Networkooperating units in this function. Recent evidence sheds new light on astrocytes and presents them as important regulators of neuronal activity and synaptic plasticity. In this paper, we present a multi-layer perceptron (MLP) with artificial astrocyte units which listen to and regulate hidden neuron作者: GNAT 時間: 2025-3-29 00:47 作者: Laconic 時間: 2025-3-29 06:02
Implementing Neural Turing Machines from memory by introducing an external memory unit. NTMs have demonstrated superior performance over Long Short-Term Memory Cells in several sequence learning tasks. A number of open source implementations of NTMs exist but are unstable during training and/or fail to replicate the reported performa作者: CURL 時間: 2025-3-29 08:12 作者: Tonometry 時間: 2025-3-29 12:18
Practical Fractional-Order Neuron Dynamics for Reservoir Computingmal leaky integrator. In general, fractional-order derivative needs all memories leading to the current state from the initial state. Although this feature is useful as a viewpoint of memory capacity, to keep all memories is intractable, in particular, for reservoir computing with many neurons. A re作者: SUE 時間: 2025-3-29 18:39 作者: 馬籠頭 時間: 2025-3-29 23:12
Towards End-to-End Raw Audio Music Synthesis timing, pitch accuracy and pattern generalization for automated music generation when processing raw audio data. To this end, we present a proof of concept and build a recurrent neural network architecture capable of generalizing appropriate musical raw audio tracks.作者: Dissonance 時間: 2025-3-30 01:24 作者: 手銬 時間: 2025-3-30 06:17 作者: maroon 時間: 2025-3-30 09:37
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作者: 膠水 時間: 2025-3-30 13:29 作者: 傻瓜 時間: 2025-3-30 18:37
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,作者: 使尷尬 時間: 2025-3-31 00:32 作者: Cerebrovascular 時間: 2025-3-31 01:37
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.作者: Aesthete 時間: 2025-3-31 08:34
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作者: 脊椎動物 時間: 2025-3-31 10:36 作者: 做作 時間: 2025-3-31 15:30 作者: 固執(zhí)點好 時間: 2025-3-31 20:02 作者: 遺產(chǎn) 時間: 2025-4-1 00:34 作者: STANT 時間: 2025-4-1 04:36 作者: critique 時間: 2025-4-1 07:36
,Relationale und differentielle Serialit?t,he proposed method is compared with reservoir computing methods with normal neurons and leaky integrator neurons by solving four kinds of regression and classification problems with time-series data. As a result, the proposed method shows superior results in all of problems.作者: 古老 時間: 2025-4-1 13:13
https://doi.org/10.1007/978-3-642-47931-1t we can learn compact encoders that, despite the relatively small number of parameters, reach high-level performances in downstream tasks, comparing them with related state-of-the-art approaches or with fully supervised methods.作者: Kaleidoscope 時間: 2025-4-1 14:22
Practical Fractional-Order Neuron Dynamics for Reservoir Computinghe proposed method is compared with reservoir computing methods with normal neurons and leaky integrator neurons by solving four kinds of regression and classification problems with time-series data. As a result, the proposed method shows superior results in all of problems.作者: 畏縮 時間: 2025-4-1 21:33
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learningt we can learn compact encoders that, despite the relatively small number of parameters, reach high-level performances in downstream tasks, comparing them with related state-of-the-art approaches or with fully supervised methods.作者: Torrid 時間: 2025-4-1 23:18
Verfassungsrechtliche Problemstellungn in that time step. Finally, the values of the survival function are linearly combined to compute the unique risk score. Thanks to the model structure and the training designed to exploit two loss functions, our model gets better concordance index (C-index) than the state of the art approaches.
