標(biāo)題: Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat [打印本頁] 作者: negation 時(shí)間: 2025-3-21 16:12
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: Glucose 時(shí)間: 2025-3-21 21:27
Neural Information Processing978-3-030-04221-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Credence 時(shí)間: 2025-3-22 00:24 作者: 打谷工具 時(shí)間: 2025-3-22 05:01 作者: ungainly 時(shí)間: 2025-3-22 08:49 作者: 返老還童 時(shí)間: 2025-3-22 13:07 作者: Osteons 時(shí)間: 2025-3-22 18:59 作者: 有權(quán)威 時(shí)間: 2025-3-22 21:12
A Multi-indicator Feature Selection for CNN-Driven Stock Index Predictional applications, different indicator features have significant impact when predicting stock index. In addition, different technical indicators which contained in the same matrix will interfere with each other when convolutional neural network (CNN) is applied to feature extraction. To solve the abov作者: magenta 時(shí)間: 2025-3-23 04:09
Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and Control Conditio these past years. In this paper, we consider a typical situation where the learner has access to an imbalanced treatment and control data collection affecting the performance of the existing approaches. Inspired from transfer and multi-task learning paradigms, our approach overcomes this problem by作者: 首創(chuàng)精神 時(shí)間: 2025-3-23 09:26
Applying Macroclimatic Variables to Improve Flow Rate Forecasting Using Neural Networks Techniques has being necessary to operate at a minimal flow rate. It is far below the ones established at the operation licence, which is 1300 m./s. Due to this hydraulic crisis, the actual operational flow rate is 700 m./s at S?o Francisco River, characterizing this situation as critical. In this work, it wa作者: 大吃大喝 時(shí)間: 2025-3-23 13:39 作者: 成份 時(shí)間: 2025-3-23 17:40
BayesGrad: Explaining Predictions of Graph Convolutional Networks“how do we explain the predictions of graph convolutional networks?” A possible approach to answer this question is to visualize evidence substructures responsible for the predictions. For chemical property prediction tasks, the sample size of the training data is often small and/or a label imbalanc作者: 注射器 時(shí)間: 2025-3-23 21:44 作者: Protein 時(shí)間: 2025-3-23 23:33
Research on the Prediction Technology of Ice Hockey Based on Support Vector Machine input characteristics and parameter selection of the model have important influence on the prediction performance. Based on this, this paper proposes a support vector machine ice hockey situation prediction model based on principal component analysis, hybrid genetic algorithm and particle swarm opt作者: 神圣不可 時(shí)間: 2025-3-24 04:52
Deep Structure of Gaussian Kernel Function Networks for Predicting Daily Peak Power Demandshe prediction model, the whole time series is divided into multiple parts and each part is trained using a GKFN. Then, the trained GKFNs are combined using the deep structure of GKFNs to minimize the mean square errors (MSEs) of prediction model. As a consequence, the proposed deep structure of GKFN作者: jaundiced 時(shí)間: 2025-3-24 06:42
Convolutional Model for Predicting SNP Interactionsorts have been contributed by researchers to study the interaction effects between multi-locus SNPs for discerning the status of complex diseases. However, the current conventional machine learning techniques are still left with several caveats. Deep learning is a new breed of machine learning techn作者: Adulterate 時(shí)間: 2025-3-24 12:39
Financial Data Forecasting Using Optimized Echo State Networkl non-linear computing ability, it has been applied to predict the time series. However, the parameters of the ESN need to be set experimentally, which can lead to instable performance and there is space to further improve its performance. In order to address this challenge, an improved fruit fly op作者: 取回 時(shí)間: 2025-3-24 16:10 作者: ESO 時(shí)間: 2025-3-24 19:36 作者: crucial 時(shí)間: 2025-3-25 01:49
Research on Usage Prediction Methods for O2O Couponsses. But without careful analysis, large amount of coupons can be wasted because of inappropriate delivery strategies. In this era of big data, O2O coupons can be more precisely delivered by using history usage records of customers. By implementing the mainstream data mining and machine learning mod作者: Engulf 時(shí)間: 2025-3-25 06:57 作者: Omnipotent 時(shí)間: 2025-3-25 09:17
also carried out in past for Delhi to understand the amplification of ground motion in various locations using different methods. In this study, an attempt is made to study the amplifications in eight locations of Delhi where strong motion recording stations are located. For this study, shear wave 作者: myalgia 時(shí)間: 2025-3-25 14:18 作者: Neutropenia 時(shí)間: 2025-3-25 19:11 作者: 相容 時(shí)間: 2025-3-25 23:17 作者: 調(diào)色板 時(shí)間: 2025-3-26 00:19 作者: 違法事實(shí) 時(shí)間: 2025-3-26 06:16 作者: propose 時(shí)間: 2025-3-26 09:27
Mengying Li,Shanliang Xue,Sijia Chengs important because the soil? as the ‘epidermis’ of our planet? is the major component of the terrestrial biosphere. In the present age? it is difficult to understand how one could be interested in general ecology without having some knowledge of the soil and further? to study the soil without takin作者: 填滿 時(shí)間: 2025-3-26 13:47
Dae Hyeon Kim,Ye Jin Lee,Rhee Man Kil,Hee Yong Youngy. This is important because the soil? as the ‘epidermis’ of our planet? is the major component of the terrestrial biosphere. In the present age? it is difficult to understand how one could be interested in general ecology without having some knowledge of the soil and further? to study the soil wit作者: 手術(shù)刀 時(shí)間: 2025-3-26 20:32
Suneetha Uppu,Aneesh Krishnagy. This is important because the soil? as the ‘epidermis’ of our planet? is the major component of the terrestrial biosphere. In the present age? it is difficult to understand how one could be interested in general ecology without having some knowledge of the soil and further? to study the soil wit作者: cinder 時(shí)間: 2025-3-26 21:46 作者: guzzle 時(shí)間: 2025-3-27 05:02 作者: pancreas 時(shí)間: 2025-3-27 06:54
Deepanway Ghosal,Md Shad Akhtar,Asif Ekbal,Pushpak Bhattacharyyach as 30–50% to the global N.O emissions from agriculture. Improved understanding of sources and N transformation processes, and soil and climatic conditions controlling N.O emissions under livestock production system helps in identifying management options to reduce N.O emissions from grazed pastur作者: indices 時(shí)間: 2025-3-27 12:40 作者: eardrum 時(shí)間: 2025-3-27 17:20 作者: debouch 時(shí)間: 2025-3-27 18:21
iour of embankment with and without geotextile reinforcements under shaking was conducted. The acceleration and frequency of shaking were kept as 0.2?g and 1?Hz, respectively. It was observed that geotextile reinforcement layer below the embankment can improve the liquefaction resistance of the soil作者: 脫水 時(shí)間: 2025-3-28 01:18 作者: 確定方向 時(shí)間: 2025-3-28 05:49
Matloob Khushi,Nazim Choudhury,Jonathan W. Arthur,Christine L. Clarke,J. Dinny Grahamnd up to 25?m of uncontrolled fill at the other end. A key geotechnical design issue was to assess how far the underlying fill could move in the design earthquakes so that the base isolators in the new building could be designed. This paper outlines the analytical methods to assess likely lateral fi作者: Postulate 時(shí)間: 2025-3-28 07:21 作者: obstruct 時(shí)間: 2025-3-28 13:24 作者: 讓空氣進(jìn)入 時(shí)間: 2025-3-28 18:32
Mengying Li,Shanliang Xue,Sijia Chengnsider the soil as a porous and finely divided medium of b- organomineral origin? whose physical structure and organisation foster the development of a multitude of specifically adapted organisms (microbial communities? roots of higher plants? macro-invertebrates).作者: indenture 時(shí)間: 2025-3-28 20:05 作者: ODIUM 時(shí)間: 2025-3-29 00:07 作者: 休息 時(shí)間: 2025-3-29 03:43 作者: Jacket 時(shí)間: 2025-3-29 10:23
Lov Kumar,Shashank Mouli Satapathy,Aneesh Krishnansider the soil as a porous and finely divided medium of b- organomineral origin? whose physical structure and organisation foster the development of a multitude of specifically adapted organisms (microbial communities? roots of higher plants? macro-invertebrates).作者: 闡釋 時(shí)間: 2025-3-29 13:14
Deepanway Ghosal,Md Shad Akhtar,Asif Ekbal,Pushpak Bhattacharyyation inhibitors to control urea to ammonium and ammonium to nitrate conversions in soil, as well as use of stand-off/feed pads or housing systems during high-risk periods of N loss are important strategies to minimize N.O emissions from livestock system. The use of single or multiple mitigation opti作者: 設(shè)施 時(shí)間: 2025-3-29 15:46 作者: Comprise 時(shí)間: 2025-3-29 23:00 作者: 褻瀆 時(shí)間: 2025-3-30 02:40
Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprintsusing the neural graph fingerprints than the other tested untrainable descriptors. Moreover, we demonstrate that the key fragment of molecules in crystal motif formation can be found from the trained neural graph fingerprints. Our approach is promising for crystal structure prediction.作者: Fabric 時(shí)間: 2025-3-30 07:42
A Multi-indicator Feature Selection for CNN-Driven Stock Index Predictiontract abstract features of each indicator, avoiding mutual interference between different indicators. Extensive experiments support that our proposed method performs well on different stock indices and achieves higher returns than the benchmark in trading simulations, providing good potential for fu作者: 沒有準(zhǔn)備 時(shí)間: 2025-3-30 08:56 作者: 印第安人 時(shí)間: 2025-3-30 14:17
BayesGrad: Explaining Predictions of Graph Convolutional NetworksayesGrad successfully visualizes the substructures responsible for the label prediction in the artificial experiment, even when the sample size is small. Furthermore, we use a real dataset to evaluate the effectiveness of the visualization. The basic idea of BayesGrad is not limited to graph-structu作者: 不公開 時(shí)間: 2025-3-30 18:51 作者: Curmudgeon 時(shí)間: 2025-3-30 23:42
Convolutional Model for Predicting SNP Interactionsal network is trained to identify true causative two-locus SNP interactions. The performance of the method is evaluated on hypertension data. Highly ranked two-locus SNP interactions are identified for the manifestation of hypertension.作者: constellation 時(shí)間: 2025-3-31 04:19
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Leveloposed approach. LSSVM with SMOTE data imbalance technique are being utilized in order to overcome the class imbalance problem. . Analysis of the results reveals that LS-SVM with RBF kernel using SMOTE results in the best performance.作者: growth-factor 時(shí)間: 2025-3-31 05:09
Daiki Ito,Raku Shirasawa,Shinnosuke Hattori,Shigetaka Tomiya,Gouhei Tanaka作者: 喊叫 時(shí)間: 2025-3-31 12:33
Conference proceedings 201818, held in Siem Reap, Cambodia, in December 2018..The 401?full papers presented were carefully?reviewed and selected from 575 submissions. The papers?address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different作者: ticlopidine 時(shí)間: 2025-3-31 15:49 作者: 陶瓷 時(shí)間: 2025-3-31 19:23
Financial Data Forecasting Using Optimized Echo State Networkocess of the swarm is transformed from two-dimensional to three-dimensional space. The proposed approach is applied to financial data sets. Experimental results show that the proposed FOA-ESN and IFOA-ESN models are more effective (~50% improvement) than others, and the IFOA-ESN can obtain the best prediction accuracy.
