標題: Titlebook: Machine Learning, Optimization, and Big Data; Third International Giuseppe Nicosia,Panos Pardalos,Renato Umeton Conference proceedings 201 [打印本頁] 作者: detumescence 時間: 2025-3-21 17:41
書目名稱Machine Learning, Optimization, and Big Data影響因子(影響力)
書目名稱Machine Learning, Optimization, and Big Data影響因子(影響力)學科排名
書目名稱Machine Learning, Optimization, and Big Data網絡公開度
書目名稱Machine Learning, Optimization, and Big Data網絡公開度學科排名
書目名稱Machine Learning, Optimization, and Big Data被引頻次
書目名稱Machine Learning, Optimization, and Big Data被引頻次學科排名
書目名稱Machine Learning, Optimization, and Big Data年度引用
書目名稱Machine Learning, Optimization, and Big Data年度引用學科排名
書目名稱Machine Learning, Optimization, and Big Data讀者反饋
書目名稱Machine Learning, Optimization, and Big Data讀者反饋學科排名
作者: 多余 時間: 2025-3-21 22:07 作者: 吃掉 時間: 2025-3-22 01:01
978-3-319-72925-1Springer International Publishing AG 2018作者: 無價值 時間: 2025-3-22 05:27
Machine Learning, Optimization, and Big Data978-3-319-72926-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: jaunty 時間: 2025-3-22 10:01
erten IAP Institut für Angewandte Psychologie in Zürich.Incl?Gute Führung“ ist DER erfolgskritische Faktor in organisationalen Ver?nderungsprozessen. Das ist fast schon eine Binsenweisheit, und doch scheitern immer noch zahlreiche Change-Projekte, weil Führungsthemen wie Kommunikation, Partizipation作者: Latency 時間: 2025-3-22 14:36 作者: EWE 時間: 2025-3-22 18:20
S. Consoli,J. Kustra,P. Vos,M. Hendriks,D. Mavroeidis medicine and epidemiology with programming examples in the This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of 作者: allude 時間: 2025-3-22 23:58
Alexander Senov medicine and epidemiology with programming examples in the This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of 作者: ordain 時間: 2025-3-23 02:42 作者: 戲服 時間: 2025-3-23 09:22 作者: Alopecia-Areata 時間: 2025-3-24 07:36
Danny D’Agostino,Andrea Serani,Emilio F. Campana,Matteo Diez be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these methods. Techniques generally referred to as作者: Precursor 時間: 2025-3-24 14:30 作者: PAC 時間: 2025-3-24 16:24 作者: 比目魚 時間: 2025-3-24 21:38
Mauro Dell’Amico,Natalia Selini Hadjidimitriou,Thorsten Koch,Milena Petkovic be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these methods. Techniques generally referred to as作者: 惰性女人 時間: 2025-3-25 02:28 作者: opportune 時間: 2025-3-25 06:48 作者: Recess 時間: 2025-3-25 09:26
Riccardo Pellegrini,Andrea Serani,Giampaolo Liuzzi,Francesco Rinaldi,Stefano Lucidi,Emilio F. Campan concerning the probability models that can be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these m作者: 芭蕾舞女演員 時間: 2025-3-25 13:57
Beatrice Lazzerini,Francesco Pistolesi be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these methods. Techniques generally referred to as作者: HARD 時間: 2025-3-25 17:55
Alice Plebe,Mario Pavone concerning the probability models that can be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these m作者: plasma-cells 時間: 2025-3-25 22:56
Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models,tanding of health and disease. However, the literature is vast and fragmented, and therefore, automation of information extraction from papers and of model assembly from the extracted information is necessary. We describe here our approach for translating machine reading outputs, obtained by reading作者: Nucleate 時間: 2025-3-26 02:16
Improving Support Vector Machines Performance Using Local Search, search method. The method is based on Iterated Local Search, a classic metaheuristic that performs multiple local searches in different parts of the space domain. When the local search arrives at a local optimum, a perturbation step is performed to calculate the starting point of a new local search作者: Endemic 時間: 2025-3-26 05:41 作者: 染色體 時間: 2025-3-26 08:33
Intra-feature Random Forest Clustering,ustering algorithm is that the clusters it identifies given some set of features will generalize well to features that have not been measured. Yeung et al. (.) introduce a Figure of Merit closely aligned to this desideratum, which they use to evaluate clustering algorithms. Broadly, the Figure of Me作者: 領巾 時間: 2025-3-26 16:27 作者: forecast 時間: 2025-3-26 19:56
Contraction Clustering (RASTER), infeasible due to their memory requirements or runtime complexity. . (RASTER) is a linear-time algorithm for identifying density-based clusters. Its coefficient is negligible as it depends neither on input size nor the number of clusters. Its memory requirements are constant. Consequently, RASTER i作者: 痛苦一下 時間: 2025-3-27 00:49 作者: 土坯 時間: 2025-3-27 04:08 作者: Collected 時間: 2025-3-27 09:05 作者: 克制 時間: 2025-3-27 11:07
Dual Convergence Estimates for a Family of Greedy Algorithms in Banach Spaces,st, we present a review of primal results on the convergence rate of the algorithms based on the geometric properties of the objective function. Then, using the ideas of [.], we define the duality gap and prove that the duality gap is a certificate for the current approximation to the optimal soluti作者: 欺騙手段 時間: 2025-3-27 15:01 作者: onlooker 時間: 2025-3-27 19:43
,A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner’s Dilemma, Dilemma (PD) that simulates the selfish behavior between rational individuals. This study investigates the suitability of the DE to evolve strategies for the Iterated Prisoner’s Dilemma (IPD), so that each individual in the population represents a complete playing strategy. Two different approaches作者: eulogize 時間: 2025-3-28 01:38 作者: 是突襲 時間: 2025-3-28 03:35
Forecasting Natural Gas Flows in Large Networks,creased significantly. Accurate forecasting is crucial for maintaining gas supplies, transportation and network stability. This paper presents two methodologies to identify the optimal configuration o parameters of a Neural Network (NN) to forecast the next 24?h of gas flow for each node of a large 作者: 信條 時間: 2025-3-28 08:12 作者: 開玩笑 時間: 2025-3-28 12:22 作者: harbinger 時間: 2025-3-28 15:19
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm wbility of multi-objective deterministic particle swarm optimization (MODPSO) is combined with the local search accuracy of a derivative-free multi-objective (DFMO) linesearch method. Six MODHA formulations are discussed, based on two MODPSO formulations and three DFMO activation criteria. Forty five作者: 高調 時間: 2025-3-28 20:14 作者: ORBIT 時間: 2025-3-28 23:42
Multi-objective Genetic Algorithm for Interior Lighting Design,d in lighting design: the respect of a given target level of illuminance, uniformity of lighting, and electrical energy saving. The proposed solution integrates the 3D graphic software Blender, used to reproduce the architectural space and to simulate the effect of illumination, and the genetic algo作者: anaphylaxis 時間: 2025-3-29 04:34
Conference proceedings 2018eld in Volterra, Italy, in September 2017..The 50 full papers presented were carefully reviewed and?selected from 126 submissions. The papers cover topics in the?field of machine learning, artificial intelligence, computational optimization and data science?presenting a substantial array of ideas, t作者: 態(tài)學 時間: 2025-3-29 08:48
Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models,anslation of different features using examples from cancer literature. We also outline several issues that still arise when assembling cellular network models from state-of-the-art reading engines. Finally, we illustrate the details of our approach with a case study in pancreatic cancer.作者: innovation 時間: 2025-3-29 12:41
Dolphin Pod Optimization, method, resulting in more than 140,000 optimization runs. The most promising setup is compared with deterministic particle swarm optimization, central force optimization, and DIviding RECTangles and finally applied to the optimization of a destroyer hull form for reduced resistance and improved seakeeping.作者: 招惹 時間: 2025-3-29 18:01 作者: CUR 時間: 2025-3-29 23:00 作者: 充氣女 時間: 2025-3-30 03:18 作者: 移植 時間: 2025-3-30 04:30
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm wcs. The most promising formulations are finally applied to the hull-form optimization of a high-speed catamaran in realistic ocean conditions and compared to MODPSO and DFMO, showing promising results.作者: 西瓜 時間: 2025-3-30 09:25
Improving Support Vector Machines Performance Using Local Search,n application of grid search on the same problem. The method is applicable to other kernels and future work should demonstrate to what extent our Iterated Local Search based method outperforms the standard grid search method over other heterogeneous datasets from different domains.作者: AXIS 時間: 2025-3-30 14:35
Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization, methods are demonstrated for the design-space dimensionality reduction of the hull form of a USS Arleigh Burke-class destroyer. Nonlinear methods are shown to be more effective than linear PCA. DAE shows the best performance overall.作者: PLUMP 時間: 2025-3-30 19:42
,A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner’s Dilemma,hes. Overall, the strategies developed by DE outperform all the others. Also, it has been observed over iterations that when the DE algorithm is used the player manages to learn his opponent, therefore, DE converges with a quick and efficient manner.作者: 期滿 時間: 2025-3-31 00:20 作者: chlorosis 時間: 2025-3-31 04:45 作者: neutralize 時間: 2025-3-31 08:34
Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety,l reallocations are first generated using the Non-dominated Sorting artificial Bee Colony (NSBC) algorithm, and the best one is then selected using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach was tested in two SMEs with 11 and 25 employees, respectively.作者: pantomime 時間: 2025-3-31 11:22 作者: reject 時間: 2025-3-31 15:53 作者: 知道 時間: 2025-3-31 18:39
Multi-objective Genetic Algorithm for Interior Lighting Design,integrates the 3D graphic software Blender, used to reproduce the architectural space and to simulate the effect of illumination, and the genetic algorithm NSGA-II. This solution offers advantages in design flexibility over previous related works.作者: 角斗士 時間: 2025-3-31 23:21
Conference proceedings 2018pics in the?field of machine learning, artificial intelligence, computational optimization and data science?presenting a substantial array of ideas, technologies, algorithms,?methods and applications..作者: 帶來的感覺 時間: 2025-4-1 04:53
0302-9743 s cover topics in the?field of machine learning, artificial intelligence, computational optimization and data science?presenting a substantial array of ideas, technologies, algorithms,?methods and applications..978-3-319-72925-1978-3-319-72926-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Acclaim 時間: 2025-4-1 07:09 作者: NEXUS 時間: 2025-4-1 11:17 作者: 高爾夫 時間: 2025-4-1 15:04
Michael Cohen genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant作者: 建筑師 時間: 2025-4-1 19:24
Tome Eftimov,Peter Koro?ec,Barbara Korou?i? Seljak genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant作者: Ovulation 時間: 2025-4-2 01:57
Angelo Lucia,Edward Thomas,Peter A. DiMaggio genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant作者: artifice 時間: 2025-4-2 04:43
S. P. Sidorov,S. V. Mironov,M. G. Pleshakov genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant作者: Albinism 時間: 2025-4-2 09:48
Danny D’Agostino,Andrea Serani,Emilio F. Campana,Matteo Diez genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant作者: 異端邪說2 時間: 2025-4-2 15:09
Manousos Rigakis,Dimitra Trachanatzi,Magdalene Marinaki,Yannis Marinakis genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant作者: Fulsome 時間: 2025-4-2 17:56
Mauro Dell’Amico,Natalia Selini Hadjidimitriou,Thorsten Koch,Milena Petkovic genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant作者: 生命層 時間: 2025-4-2 20:47
Maria Jo?o Alves,Carlos Henggeler Antunes genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant
