標(biāo)題: Titlebook: Machine Learning, Optimization, and Data Science; 6th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202 [打印本頁] 作者: CLIP 時(shí)間: 2025-3-21 18:31
書目名稱Machine Learning, Optimization, and Data Science影響因子(影響力)
書目名稱Machine Learning, Optimization, and Data Science影響因子(影響力)學(xué)科排名
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書目名稱Machine Learning, Optimization, and Data Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning, Optimization, and Data Science被引頻次
書目名稱Machine Learning, Optimization, and Data Science被引頻次學(xué)科排名
書目名稱Machine Learning, Optimization, and Data Science年度引用
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書目名稱Machine Learning, Optimization, and Data Science讀者反饋
書目名稱Machine Learning, Optimization, and Data Science讀者反饋學(xué)科排名
作者: Morose 時(shí)間: 2025-3-22 00:15 作者: 消極詞匯 時(shí)間: 2025-3-22 02:37
978-3-030-64579-3Springer Nature Switzerland AG 2020作者: 并置 時(shí)間: 2025-3-22 05:48 作者: 具體 時(shí)間: 2025-3-22 12:10 作者: 突襲 時(shí)間: 2025-3-22 15:46 作者: 騷動(dòng) 時(shí)間: 2025-3-22 17:59 作者: 鳥籠 時(shí)間: 2025-3-23 00:04
Günther Schindler,Wolfgang Roth,Franz Pernkopf,Holger Fr?ningof course, design - of which is very significantly affected by stability phenomena. In fact, with up-to-date thin-walled steel plated structures, it is very frequently the point of view of stability that governs the design. So it is not astonishing that the attention of a great number of research te作者: 手榴彈 時(shí)間: 2025-3-23 04:05
Riste Stojanov,Gorjan Popovski,Nasi Jofce,Dimitar Trajanov,Barbara Korou?i? Seljak,Tome Eftimov numericalmethodsavailableforthispurpose,so-called“DirectMethods”,- bracing Limit- and Shakedown Analysis, play an eminent role due to the fact that they allow rapid access to the requested information in mathematically constructive manners. The collection of papers in this book is the outcome of a 作者: Critical 時(shí)間: 2025-3-23 06:42 作者: BIDE 時(shí)間: 2025-3-23 13:23
Julia Krützmann,Alexander Schiendorfer,Sergej Beratz,Judith Moosburger-Will,Wolfgang Reif,Siegfried of the theory of martingales in a Banach space. After this work the theory of the set-valued martingale was studied by several authors such as Neveu [157], Daures [54]. However, owing to the limit of the definition of conditional expectation defined by Van Cutsem the study was restricted to the case作者: 含沙射影 時(shí)間: 2025-3-23 15:08 作者: defile 時(shí)間: 2025-3-23 18:52 作者: SOB 時(shí)間: 2025-3-24 02:14
Jimiama Mafeni Mase,Peter Chapman,Grazziela P. Figueredo,Mercedes Torres Torresle, the definition of Markov chain with the help of its transition matrix. However, it was only in connection with the demands of statistical physics, in particular, with those of the strict definition of Gibbs random field the wide possibilities of this approach were cleared up. Below we will descr作者: Harridan 時(shí)間: 2025-3-24 02:33
Abhay Harpalele, the definition of Markov chain with the help of its transition matrix. However, it was only in connection with the demands of statistical physics, in particular, with those of the strict definition of Gibbs random field the wide possibilities of this approach were cleared up. Below we will descr作者: 討人喜歡 時(shí)間: 2025-3-24 09:42
Nima Nabizadeh,Martin Heckmann,Dorothea Kolossa Markov chains for stochastic of or dynamical by describing properties systems, of Perron- Frobenius has been demonstrated in several All use a operator, papers. these works share the features the features that must be same specific general ; used in each stem from the nature of the functional parti作者: 感激小女 時(shí)間: 2025-3-24 12:49
Per-Arne Andersen,Morten Goodwin,Ole-Christoffer Granmo Markov chains for stochastic of or dynamical by describing properties systems, of Perron- Frobenius has been demonstrated in several All use a operator, papers. these works share the features the features that must be same specific general ; used in each stem from the nature of the functional parti作者: Electrolysis 時(shí)間: 2025-3-24 17:33
Vladimir Soloviev,Nikita Titov,Elena Smirnova classical setting.Offers a modern approach.Includes supplem.Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as well as some作者: 啤酒 時(shí)間: 2025-3-24 20:31
Jose Cruz,Wilson Mamani,Christian Romero,Ferdinand Pineda field. Several new results are introduced, even in the classical setting, as well as some new approaches that are simpler than those already established in the literature. In particular, new proofs of the strong law of large numbers and the Hajek-Renyi inequality are detailed. Applications of the d作者: 明確 時(shí)間: 2025-3-25 02:01
Abhinav Raj,Subhankar Mishraemanding, Russian literature in detail.Coverage is thorough,.Limit theorems for stochastic processes are an important part of probability theory and mathematical statistics and one model that has attracted the attention of many researchers working in the area is that of limit theorems for randomly s作者: Parabola 時(shí)間: 2025-3-25 03:42 作者: 單純 時(shí)間: 2025-3-25 10:19 作者: NEEDY 時(shí)間: 2025-3-25 12:02 作者: 冰河期 時(shí)間: 2025-3-25 19:21 作者: Grasping 時(shí)間: 2025-3-25 20:53 作者: 脾氣暴躁的人 時(shí)間: 2025-3-26 00:58
Learning Controllers for Adaptive Spreading of Carbon Fiber Tows,ents – contributing to reduced greenhouse gas emissions. A common manufacturing process for carbon fiber tapes consists of aligning tows (bundles of carbon fiber filaments) side by side to form tapes via a spreading machine. Tows are pulled across metallic spreading bars that are conventionally kept作者: 頑固 時(shí)間: 2025-3-26 04:39 作者: 一個(gè)姐姐 時(shí)間: 2025-3-26 11:52 作者: 茁壯成長(zhǎng) 時(shí)間: 2025-3-26 16:12
Benchmarking Deep Learning Models for Driver Distraction Detection,stures focus on analysing image features. However, there is lack of a comprehensive evaluation of state-of-the-art deep learning techniques employed for driver distraction detection, which limits or misguides future research in this area. In this paper, we conduct an in depth review of deep learning作者: Omniscient 時(shí)間: 2025-3-26 16:52 作者: 遺產(chǎn) 時(shí)間: 2025-3-26 21:54 作者: configuration 時(shí)間: 2025-3-27 04:18
Automatic Curriculum Recommendation for Employees,or peer feedback. The system integrates content-based and interested-based recommendations across multiple data-streams and interaction modalities to arrive at superior recommendations to those based on just content or interests. The training assets span a wide variety of content formats such as blo作者: convert 時(shí)間: 2025-3-27 05:54
Target-Aware Prediction of Tool Usage in Sequential Repair Tasks, of tool usage would be helpful for various assistance scenarios, e.g. allowing a contextualized assistant to predict the next required tool in an unseen task. In this work, we examine the potential of this idea. We employ two prominent classes of sequence learning methods for modeling the tool usag作者: 猛烈責(zé)罵 時(shí)間: 2025-3-27 11:44
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing,larly challenging. Here, current state-of-the-art reinforcement learning algorithms struggle to learn optimal control policies safely. Loss of control follows, which could result in equipment breakages and even personal injuries..On the other hand, a model-based reinforcement learning algorithm aims作者: 使隔離 時(shí)間: 2025-3-27 15:17
Coking Coal Railway Transportation Forecasting Using Ensembles of ElasticNet, LightGBM, and Faceboon two directions: export and domestic transportation. We built ensembles of ElasticNet, LightGBM, and Facebook Prophet models. The coal export transportation volumes are best predicted by an ensemble of ElasticNet and LightGBM models, giving the mean absolute percentage error at 10%. The best model 作者: 啞劇 時(shí)間: 2025-3-27 18:49 作者: FICE 時(shí)間: 2025-3-28 00:55
High-Dimensional Constrained Discrete Multi-objective Optimization Using Surrogates,nd many black-box constraints. The algorithm builds and maintains multiple surrogates to approximate each of the black-box objective and constraint functions. The surrogates are used to identify promising sample points for the function evaluations from a large number of trial solutions in the neighb作者: 瑣碎 時(shí)間: 2025-3-28 05:27
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations, original input. To find adversarial examples, some attack strategies rely on linear approximations of different properties of the models. This opens a number of questions related to the accuracy of such approximations. In this paper we focus on DeepFool, a state-of-the-art attack algorithm, which i作者: 鳴叫 時(shí)間: 2025-3-28 09:38
Lottery Ticket Hypothesis: Placing the k-orrect Bets,., the authors showed that pruning is a way of training, which we extend to show that pruning a well-trained network at initialization does not exhibit significant gains in accuracy. . motivates us to explore pruning after . epoch. We show that there exists a minimum value of . above which there is 作者: nutrients 時(shí)間: 2025-3-28 14:03 作者: 說不出 時(shí)間: 2025-3-28 18:30
Conference proceedings 2020, and Data Science, LOD 2020, held in Siena, Italy, in July 2020...The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine l作者: Incisor 時(shí)間: 2025-3-28 22:31 作者: 去掉 時(shí)間: 2025-3-28 23:52
Coking Coal Railway Transportation Forecasting Using Ensembles of ElasticNet, LightGBM, and Faceboortation volumes are best predicted by an ensemble of ElasticNet and LightGBM models, giving the mean absolute percentage error at 10%. The best model for coking coal domestic transportation forecast is pure LightGBM, with the mean absolute percentage error at 6%.作者: 馬賽克 時(shí)間: 2025-3-29 04:49
Conference proceedings 2020gs set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications..作者: Brocas-Area 時(shí)間: 2025-3-29 09:10
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing G explicit calculation of gradients or adjoints and we show this resolves the exploding and vanishing gradient problem. We analyze different parameter initializations, propose a dynamic change in ensembles and compare results to established methods.作者: 減震 時(shí)間: 2025-3-29 12:46 作者: magnanimity 時(shí)間: 2025-3-29 15:53 作者: 感情脆弱 時(shí)間: 2025-3-29 20:14 作者: 染色體 時(shí)間: 2025-3-30 01:51 作者: 整體 時(shí)間: 2025-3-30 04:53 作者: FLIP 時(shí)間: 2025-3-30 09:01
Lottery Ticket Hypothesis: Placing the k-orrect Bets,he original network. We test our claims on MNIST, CIFAR10, and CIFAR100 with small architectures such as lenet-300-100, Conv-2,4,6, and more extensive networks such as Resnet-20. We then discuss why pruning at initialization does not result in considerable benefits compared to pruning at ..作者: 反饋 時(shí)間: 2025-3-30 13:51 作者: Mere僅僅 時(shí)間: 2025-3-30 19:48
Parameterized Structured Pruning for Deep Neural Networks,istinction between important and unimportant structures. As a result, PSP maintains prediction performance, creates a substantial amount of sparsity that is structured and, thus, easy and efficient to map to a variety of massively parallel processors, which are mandatory for utmost compute power and energy efficiency.作者: 窗簾等 時(shí)間: 2025-3-31 00:09
Learning Controllers for Adaptive Spreading of Carbon Fiber Tows,d on real data and a process control model to choose adequate spreading bar positions is able to improve the tape quality variations. Our results indicate promising tendencies for adaptive tow spreading.作者: 愉快么 時(shí)間: 2025-3-31 03:05
High-Dimensional Constrained Discrete Multi-objective Optimization Using Surrogates,udget of only 15 times the number of decision variables. The proposed algorithm substantially outperforms an NSGA-II implementation for discrete variables and yields a remarkable improvement over an initial feasible design on the Mazda benchmark given the limited computational budget.作者: endure 時(shí)間: 2025-3-31 08:04 作者: 新星 時(shí)間: 2025-3-31 11:27
Vladimir Soloviev,Nikita Titov,Elena Smirnovaduate students and researchers who work on limit theorems in probability theory, the statistical analysis of random fields, as well as in the field of random sets or stochastic geometry. The central topic is al978-3-662-51150-3978-3-662-44388-0Series ISSN 2199-3130 Series E-ISSN 2199-3149 作者: 熱情的我 時(shí)間: 2025-3-31 17:25 作者: abduction 時(shí)間: 2025-3-31 20:12 作者: 加花粗鄙人 時(shí)間: 2025-4-1 01:17
