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標(biāo)題: Titlebook: Neural Information Processing; 23rd International C Akira Hirose,Seiichi Ozawa,Derong Liu Conference proceedings 2016 Springer Internationa [打印本頁]

作者: Gullet    時間: 2025-3-21 19:21
書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




書目名稱Neural Information Processing年度引用




書目名稱Neural Information Processing年度引用學(xué)科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學(xué)科排名





作者: Horizon    時間: 2025-3-21 23:13

作者: 祖先    時間: 2025-3-22 01:15

作者: FOLLY    時間: 2025-3-22 08:29
Semi Supervised Autoencoder(greedily) construct a stacked architecture. We demonstrate the efficacy our design in terms of both accuracy and run time requirements for the case of image classification. Our model is able to provide high classification accuracy with even simple classification schemes as compared to existing models for deep architectures.
作者: 令人作嘔    時間: 2025-3-22 10:46
Sampling-Based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Netwframework experimentally we use some special synthetic benchmarks for testing RNNs on ability to capture long-term dependencies. Our network can detect links between events in the (temporal) sequence at the range?100 and longer.
作者: 間接    時間: 2025-3-22 15:14
Modal Regression via Direct Log-Density Derivative Estimation good density estimator does not necessarily mean a good density derivative estimator. In this paper, we propose a novel method for modal regression based on . estimation of the log-density derivative without density estimation. Experiments show the superiority of our direct method over PMS.
作者: 嚴(yán)峻考驗    時間: 2025-3-22 17:55

作者: 保留    時間: 2025-3-23 00:54
Nuclear Norm Regularized Randomized Neural Networkhidden layer to target) network. This is solved by imposing a nuclear norm penalty. The proposed technique is compared with the basic ELM and the Sparse ELM. Results on benchmark datasets, show that our method outperforms both of them.
作者: 小教堂    時間: 2025-3-23 05:19
A Theoretical Analysis of Semi-supervised Learningtively different dynamical behaviors. Furthermore, we propose a new algorithm that improves the generalization performance by switching the number of input vectors used in an update as the time step proceeds.
作者: 睨視    時間: 2025-3-23 06:50

作者: 不發(fā)音    時間: 2025-3-23 12:51

作者: 管理員    時間: 2025-3-23 16:26

作者: dragon    時間: 2025-3-23 18:12

作者: MANIA    時間: 2025-3-24 01:25
Conference proceedings 2016ion Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and contr
作者: Prostatism    時間: 2025-3-24 02:48
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structureion. The density estimates at every given data points are averaged to obtain entropy estimators. The proposed estimator is shown to perform well through numerical experiments for various probability distributions.
作者: goodwill    時間: 2025-3-24 07:02
BPSpike II: A New Backpropagation Learning Algorithm for Spiking Neural Networksntees convergence to minimum error point, and unlike SpikeProp and its extensions, does not need a one-to-one correspondence between actual and desired spikes in advance. So, it is stably and widely applicable to practical problems.
作者: 彈藥    時間: 2025-3-24 14:36
Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity of AIF. The proposed method is theoretically guaranteed to extract the independent components in the unique order of the degree of non-Gaussianity. Consequently, it enables us to fix the permutation ambiguity. Experimental results on blind image separation problems show the usefulness of the proposed method.
作者: Yag-Capsulotomy    時間: 2025-3-24 18:12
Kernel L1-Minimization: Application to Kernel Sparse Representation Based Classificationice, ..-minimization is a better approach compared to OMP. The standard ..-minimization is a solved problem. For the first time in this work, we propose a technique for Kernel ..-minimization. Through simulation results we show that our proposed method outperforms prior kernelised greedy sparse recovery techniques.
作者: Proponent    時間: 2025-3-24 19:07
Non-parametric ,-mixture of Density Functionses. There are two typical mixtures in the context of information geometry, the .- and .-mixtures. This paper proposes a novel framework of non-parametric .-mixture modeling by using a simple estimation algorithm based on geometrical insights into the characteristics of the .-mixture. An experimental
作者: 參考書目    時間: 2025-3-25 02:54

作者: 發(fā)怨言    時間: 2025-3-25 03:37
A Problem in Model Selection of LASSO and Introduction of Scalingge at a sparse representation. This problem is important because it directly affects a quality of model selection in LASSO. We derived a prediction risk for LASSO with scaling and obtained an optimal scaling parameter value that minimizes the risk. We then showed the risk is improved by assigning th
作者: Notify    時間: 2025-3-25 07:50

作者: Glaci冰    時間: 2025-3-25 15:13
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networksuro-evolution has shownpromising performance for a number of real-world applications. Recently, evolutionary multi-tasking has been proposed for optimisation problems. In this paper, we present a multi-task learning for neural networks that evolves modular network topologies. In the proposed method,
作者: 攤位    時間: 2025-3-25 18:02
On the Noise Resilience of Ranking Measuresetic and real-world data sets, we investigated the resilience to noise of various ranking measures. Our experiments revealed that the area under the ROC curve (AUC) and a related measure, the truncated average Kolmogorov-Smirnov statistic (taKS), can reliably discriminate between models with truly d
作者: Pde5-Inhibitors    時間: 2025-3-25 20:37

作者: 做作    時間: 2025-3-26 04:06
Group Dropout Inspired by Ensemble Learnings a large number of layers and a huge number of units and connections, so overfitting occurs. Dropout learning is a kind of regularizer that neglects some inputs and hidden units in the learning process with a probability .; then, the neglected inputs and hidden units are combined with the learned n
作者: FUSE    時間: 2025-3-26 07:51

作者: STELL    時間: 2025-3-26 08:32

作者: Inculcate    時間: 2025-3-26 12:39
Sampling-Based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Netwatives. We construct an analytical framework to estimate a contribution of each training example to the norm of the long-term components of the target functions gradient and use it to hold the norm of the gradients in the suitable range. Using this subroutine we can construct mini-batches for the st
作者: Pessary    時間: 2025-3-26 19:35
Face Hallucination Using Correlative Residue Compensation in a Modified Feature Spacebeen proposed due to its neighborhood preserving nature. However, the projection of low resolution (LR) image to high resolution (HR) is “one-to-multiple” mapping; therefore manifold assumption does not hold well. To solve the above inconsistency problem we proposed a new approach. First, an interme
作者: 改進(jìn)    時間: 2025-3-26 22:11
Modal Regression via Direct Log-Density Derivative Estimation and output. On the other hand, when the conditional density with multiple modes is analyzed, . comes in handy. . (PMS) is a promising method of modal regression, which updates data points toward conditional modes by gradient ascent. In the implementation, PMS first obtains an estimate of the joint
作者: anachronistic    時間: 2025-3-27 05:09

作者: gene-therapy    時間: 2025-3-27 06:14

作者: hankering    時間: 2025-3-27 10:00

作者: BRUNT    時間: 2025-3-27 14:24
Nuclear Norm Regularized Randomized Neural Networkhidden layer are not learned; they are assigned from some probability distribution. The weights between the hidden layer and the output targets are learnt. Neural networks are believed to mimic the human brain; it is well known that the brain is a redundant network. In this work we propose to explic
作者: 盡忠    時間: 2025-3-27 21:50
Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity, where the weights are determined by adaptively estimated kurtoses. In this paper, the Gram-Schmidt orthonormalization is applied to the optimization of AIF. The proposed method is theoretically guaranteed to extract the independent components in the unique order of the degree of non-Gaussianity. C
作者: Gossamer    時間: 2025-3-27 22:47

作者: Transfusion    時間: 2025-3-28 05:51

作者: heterodox    時間: 2025-3-28 09:40
Hideitsu Hino,Ken Takano,Shotaro Akaho,Noboru Murata1980.Includes supplementary material: .The relationships between soils, microbes and humans are of crucial relevance in the tropics, where plant stress and microbial activity are exacerbated. This volume of Soil Biology presents the living component of tropical soils, showing how it is shaped by env
作者: Perigee    時間: 2025-3-28 14:27

作者: attenuate    時間: 2025-3-28 18:26
Katsuyuki Hagiwara1980.Includes supplementary material: .The relationships between soils, microbes and humans are of crucial relevance in the tropics, where plant stress and microbial activity are exacerbated. This volume of Soil Biology presents the living component of tropical soils, showing how it is shaped by env
作者: 媽媽不開心    時間: 2025-3-28 19:55

作者: photopsia    時間: 2025-3-28 23:38
Rohitash Chandra,Abhishek Gupta,Yew-Soon Ong,Chi-Keong Goh1980.Includes supplementary material: .The relationships between soils, microbes and humans are of crucial relevance in the tropics, where plant stress and microbial activity are exacerbated. This volume of Soil Biology presents the living component of tropical soils, showing how it is shaped by env
作者: nonradioactive    時間: 2025-3-29 06:31
Daniel Berrar1980.Includes supplementary material: .The relationships between soils, microbes and humans are of crucial relevance in the tropics, where plant stress and microbial activity are exacerbated. This volume of Soil Biology presents the living component of tropical soils, showing how it is shaped by env
作者: cornucopia    時間: 2025-3-29 09:40
Satoshi Matsuda1980.Includes supplementary material: .The relationships between soils, microbes and humans are of crucial relevance in the tropics, where plant stress and microbial activity are exacerbated. This volume of Soil Biology presents the living component of tropical soils, showing how it is shaped by env
作者: 浸軟    時間: 2025-3-29 12:30
Kazuyuki Hara,Daisuke Saitoh,Takumi Kondou,Satoshi Suzuki,Hayaru Shouno1980.Includes supplementary material: .The relationships between soils, microbes and humans are of crucial relevance in the tropics, where plant stress and microbial activity are exacerbated. This volume of Soil Biology presents the living component of tropical soils, showing how it is shaped by env
作者: B-cell    時間: 2025-3-29 18:15
Gwenaelle Cunha Sergio,Minho Lee1980.Includes supplementary material: .The relationships between soils, microbes and humans are of crucial relevance in the tropics, where plant stress and microbial activity are exacerbated. This volume of Soil Biology presents the living component of tropical soils, showing how it is shaped by env
作者: 形狀    時間: 2025-3-29 20:43

作者: Firefly    時間: 2025-3-30 03:08

作者: 入伍儀式    時間: 2025-3-30 07:58
Javaria Ikram,Yao Lu,Jianwu Li,Nie Huied. This chapter will introduce the functional role of soil organisms on significant ecological processes, such as soil nutrient availability, biological control, soil structure, herbivory, symbiosis, and plant growth. Ecosystem engineers, litter transformers, predators, herbivores, symbionts, micro
作者: nurture    時間: 2025-3-30 10:19
Hiroaki Sasaki,Yurina Ono,Masashi Sugiyamaed. This chapter will introduce the functional role of soil organisms on significant ecological processes, such as soil nutrient availability, biological control, soil structure, herbivory, symbiosis, and plant growth. Ecosystem engineers, litter transformers, predators, herbivores, symbionts, micro
作者: 慢跑    時間: 2025-3-30 15:12
Duy-Khuong Nguyen,Quoc Tran-Dinh,Tu-Bao Hobaseline soil carbon stocks across the conterminous US (CONUS). A multi-level hierarchical design was used to ensure that samples were distributed across regions, soils and land use/land cover classes (LULC). Within those strata, sites were selected at random locations where five pedons were describ
作者: PTCA635    時間: 2025-3-30 17:03

作者: 壁畫    時間: 2025-3-30 21:24

作者: 有抱負(fù)者    時間: 2025-3-31 01:40

作者: CLASP    時間: 2025-3-31 05:54

作者: 兇猛    時間: 2025-3-31 12:56
Non-parametric ,-mixture of Density Functionses. There are two typical mixtures in the context of information geometry, the .- and .-mixtures. This paper proposes a novel framework of non-parametric .-mixture modeling by using a simple estimation algorithm based on geometrical insights into the characteristics of the .-mixture. An experimental result supports the proposed framework.
作者: dysphagia    時間: 2025-3-31 13:25
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663635.jpg
作者: 清洗    時間: 2025-3-31 18:05
https://doi.org/10.1007/978-3-319-46672-9embedded systems; genetic algorithms; neural networks; pattern recognition; swarm intelligence; big data;
作者: arrhythmic    時間: 2025-3-31 23:59

作者: TRAWL    時間: 2025-4-1 04:59
Neural Information Processing978-3-319-46672-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 遺留之物    時間: 2025-4-1 07:58
Akira Hirose,Seiichi Ozawa,Derong LiuIncludes supplementary material:
作者: 幼稚    時間: 2025-4-1 11:21
riculture, symbioses of plants and microbes are thoroughly covered, as are the biodegradation of pesticides and health risks associated with wastewater irrigation. Lastly, traditional soil knowledge is discussed as a key to our sustainable presence in this world..978-3-642-26261-6978-3-642-05076-3Series ISSN 1613-3382 Series E-ISSN 2196-4831




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