作者: chemical-peel 時(shí)間: 2025-3-21 21:45
Richard Arnowitt,Bhaskar Dutta,Bo Hu (FaLK-SVMa), and provide two fusion methods, distance-based weighting (FaLK-SVMad) and rank-based weighting methods (FaLK-SVMar). Experimental results on fourteen UCI datasets and three large scale datasets show that FaLK-SVMa can chieve higher classification accuracy than FaLK-SVM.作者: Catheter 時(shí)間: 2025-3-22 04:01
Looking beyond the Developmental State, algorithm, and then sample data from each cluster equally to generate training subset for training different individual SVR models with different training parameters for ensemble. Experimental results on beer sales show that the proposed method has good usability and generalization ability.作者: 膽小懦夫 時(shí)間: 2025-3-22 06:24
,Gyrogroups: Modeled on Einstein’S Addition,ere having several poles. The acquired pole results show very good agreement with theoretical expectations. Besides, the differential evolution algorithm has higher accuracy as compared to a similar method, which utilizes from genetic algorithm.作者: 笨重 時(shí)間: 2025-3-22 12:45
0302-9743 proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on neural networks; machine lear作者: urethritis 時(shí)間: 2025-3-22 14:48
Unification in Higher Dimensionsngle hop and multi-hop manner for saving cluster heads’ energy. Simulation results show that compared with LEACH and P-LEACH, the improved algorithm can balance energy consumption among nodes, reduce the energy consumption and prolong the lifetime of the networks.作者: hegemony 時(shí)間: 2025-3-22 19:25 作者: Decongestant 時(shí)間: 2025-3-22 21:52
,Gyrogroups: Modeled on Einstein’s Addition,rt object and zero significance parameter. One can then reduce a table by eliminating the defined row or objects in what has been defined as hybrid reduction. As part of our paper, we have managed to show that our proposed model of hybrid reduction yielded a better data size reduction whilst still maintaining consistent results.作者: 航海太平洋 時(shí)間: 2025-3-23 02:53
,Gyrooprations — the ,(2, ,) Approach,e rough degree to measure the roughness of rough sets in interval ordered information systems and through some examples are illustrated.These results will be very helpful for understanding the essence of knowledge content and uncertainty measurement in future research works of interval ordered information.作者: 搖擺 時(shí)間: 2025-3-23 06:32
https://doi.org/10.1007/978-94-010-9122-0e to deal with other machine learning problems including cluster and regression task, that is Learner Combination via Learner(LCL) model. A large empirical study shows that, comparing with majority vote(Bagging) and weighted majority vote(AdaBoost), CCC can significantly improve the performance.作者: FOLD 時(shí)間: 2025-3-23 13:32 作者: adduction 時(shí)間: 2025-3-23 17:55
Conference proceedings 2012and computational linguistics; intelligent data fusion and information security; intelligent computing in pattern recognition; intelligent agent and web applications; intelligent computing in scheduling; intelligent control and automation.作者: Cocker 時(shí)間: 2025-3-23 21:36 作者: GRAZE 時(shí)間: 2025-3-24 00:15 作者: Adrenal-Glands 時(shí)間: 2025-3-24 02:28
Preon Prophecies by the Standard Model to discriminate three kinds of target from each other, having as input the extracted features vector. Experiment results demonstrate that the method can improve the target classification performance efficiently and effectively.作者: GULF 時(shí)間: 2025-3-24 07:40
A Time Variation of the QCD Scalergence compared with the K-means algorithm based clustering approach and artificial immune based approach. Simulate experimental results indicate the hybrid algorithm has a faster convergence speed and the obtained clustering centers can get strong stability.作者: STELL 時(shí)間: 2025-3-24 12:39 作者: BLANC 時(shí)間: 2025-3-24 17:19
Networks, Politics, and Institutions,ruction residual. OP-SRC aims to reduce the within-class reconstruction residual and simultaneously increases the between-class reconstruction residual. Therefore, SRC performs well in the OP-SRC transformed space. The feasibility and effectiveness of the proposed method is verified on Yale and ORL with promising results.作者: unstable-angina 時(shí)間: 2025-3-24 19:42 作者: foppish 時(shí)間: 2025-3-25 01:14
Advanced Intelligent Computing978-3-642-24728-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 鎮(zhèn)痛劑 時(shí)間: 2025-3-25 04:44 作者: Commemorate 時(shí)間: 2025-3-25 07:44 作者: 不公開 時(shí)間: 2025-3-25 14:33 作者: 脊椎動(dòng)物 時(shí)間: 2025-3-25 16:38
https://doi.org/10.1007/978-3-642-24728-6constraints problems; fault diagnosis; kernel methods; multi-objective optimization; support vector mach作者: 畏縮 時(shí)間: 2025-3-25 22:50
978-3-642-24727-9Springer-Verlag GmbH Berlin Heidelberg 2012作者: PACT 時(shí)間: 2025-3-26 01:03 作者: 不理會(huì) 時(shí)間: 2025-3-26 06:07
https://doi.org/10.1007/978-1-4899-4533-4A numerical example illustrates that the stability criteria in this paper is less conservative than the existing ones. In addition, by using argumented Lyapunov functional, this method allows the coefficient matrix of the neutral term to have time-varying uncertainties.作者: 圣人 時(shí)間: 2025-3-26 09:51 作者: 神圣不可 時(shí)間: 2025-3-26 14:59 作者: 生命 時(shí)間: 2025-3-26 17:09 作者: Crepitus 時(shí)間: 2025-3-27 00:39 作者: Duodenitis 時(shí)間: 2025-3-27 02:03
Big Bang Nucleosynthesis and Neutrinosuzzy C-means (FCM) cluster analysis of the principles and algorithms process at first, then a novel method to initialize the cluster centers is proposed. The idea is that the cluster centers’ distribution should be as evenly as possible within the input field. A “Two-step method” is used in our evol作者: Bricklayer 時(shí)間: 2025-3-27 08:55 作者: 閑蕩 時(shí)間: 2025-3-27 10:57
Richard Arnowitt,Bhaskar Dutta,Bo Hucal classifier, however, remains a challenging problem. Rather than selecting one single local classifier, in this paper, we propose to choose several local classifiers and use adaptive fusion strategy to alleviate the choice problem of the proper local classifier. Based on the fast and scalable loc作者: jaunty 時(shí)間: 2025-3-27 15:48
Unification in Higher Dimensionshe node’s residual energy and distance with other cluster heads. In addition, the clusters send data to the base station by means of combination of single hop and multi-hop manner for saving cluster heads’ energy. Simulation results show that compared with LEACH and P-LEACH, the improved algorithm c作者: 改正 時(shí)間: 2025-3-27 21:12
Privatization , the Chinese State, parameter of the regularizer efficiently is still unanswered, especially for multi-class situation. In this paper, we first prove that regularizing LDA is equivalent to augmenting the training set in a specific way and thereby propose an efficient model selection criterion based on the principle of作者: rectum 時(shí)間: 2025-3-28 01:42 作者: 隱語 時(shí)間: 2025-3-28 06:09 作者: 牛馬之尿 時(shí)間: 2025-3-28 10:16 作者: vector 時(shí)間: 2025-3-28 11:37
,Gyrogroups: Modeled on Einstein’s Addition, objects. Using a Boolean valued information system, certain rows or objects can be defined as ultimate maximum support object, ultimate minimum support object and zero significance parameter. One can then reduce a table by eliminating the defined row or objects in what has been defined as hybrid re作者: 步兵 時(shí)間: 2025-3-28 14:40
https://doi.org/10.1007/0-306-47134-5astic Estimator (DGSE) learning automaton, not only possesses the characteristics of the Stochastic Estimator Reward-inaction (..) learning automaton and the Discretized Generalized Pursuit Algorithm (DGPA) learning automaton, but also converges with a remarkable speed and accuracy. The asymptotic b作者: BRIBE 時(shí)間: 2025-3-28 21:58 作者: sphincter 時(shí)間: 2025-3-28 23:43 作者: 技術(shù) 時(shí)間: 2025-3-29 05:51
,Gyrogroups: Modeled on Einstein’S Addition,roblem in JIT environment with batch delivery cost and distinct due dates. Despite its hardness, solving a non-convex function which minimizes earliness and tardiness costs simultaneously seems to be very useful and practical in industrial environments. In order to solve this complex problem, first 作者: 脆弱么 時(shí)間: 2025-3-29 11:02
0302-9743 ormation security; intelligent computing in pattern recognition; intelligent agent and web applications; intelligent computing in scheduling; intelligent control and automation.978-3-642-24727-9978-3-642-24728-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Pathogen 時(shí)間: 2025-3-29 15:15 作者: MAIZE 時(shí)間: 2025-3-29 16:32 作者: ETHER 時(shí)間: 2025-3-29 22:37 作者: 事與愿違 時(shí)間: 2025-3-30 03:54 作者: CLAIM 時(shí)間: 2025-3-30 06:45
An Approach for High Resolution Radar Target Recognition Based on BP Neural Networkp, and variance for generics.. .If you’re checking out this book for the first time, do understand that it‘s targeted at experienced software professionals and/or graduate students of computer science (so don‘t978-1-4302-2549-2978-1-4302-2550-8作者: 節(jié)省 時(shí)間: 2025-3-30 10:59 作者: Gerontology 時(shí)間: 2025-3-30 13:57 作者: Camouflage 時(shí)間: 2025-3-30 19:15
Hybrid Reduction in Soft Set Decision Makingts or smoke-and-mirror workarounds..CSS3 is still in active development, with browser vendors racing against each other to implement the latest recommendations from the W3C978-1-4302-6502-3978-1-4302-6503-0作者: Lignans 時(shí)間: 2025-3-30 22:09 作者: IST 時(shí)間: 2025-3-31 02:18
Optimal Regularization Parameter Estimation for Regularized Discriminant Analysisexplicitly supported by Apache DeltaSpike Container Control. If a new container is introduced or a container changes its proprietary API in a noncompatible way, users of DeltaSpike Container Control need to wait for a new version to be released to support them.作者: 保存 時(shí)間: 2025-3-31 06:21 作者: 該得 時(shí)間: 2025-3-31 11:14
Neural Network Model for Forecasting Balkan Stock Exchangesme in the future). Disposable objects, on the other hand, are classes (or structures) that implement the IDisposable interface. Using this technique, you expose a public method to the object user that can be called to perform internal cleanup ASAP. Finally, you learned about an official “disposal” pattern that blends both approaches.作者: kindred 時(shí)間: 2025-3-31 16:31
Hybrid Clustering Algorithm Based on the Artificial Immune Principlewith a rock-solid foundation in the C# programming language and the core aspects of the .NET platform (assemblies, remoting, Windows Forms, Web Forms, ADO.NET, XML web services, etc.). Once you digest the information presented in these 25 chapters, you’ll be in a perfect position to apply this knowl作者: 一瞥 時(shí)間: 2025-3-31 18:51 作者: 琺瑯 時(shí)間: 2025-3-31 22:13
Improvement of LEACH Routing Algorithm Based on Use of Balanced Energy in Wireless Sensor Networks giving you an edge when you evaluate and implement .NET 3.0 for the first time. To provide even more support, a bonus PDF download will be available with each purchase, offering over 500 pages of carefully selected additional content to help broaden your understanding of both .NET 2.0 and .NET 3.0..978-1-4302-0201-1作者: Priapism 時(shí)間: 2025-4-1 04:40 作者: GENUS 時(shí)間: 2025-4-1 09:51 作者: Fecal-Impaction 時(shí)間: 2025-4-1 11:12
A Differential Evolution Algorithm for the Extraction of Complex Natural Resonance Frequencies of El I use plain NSManagedObject instances or custom classes? ..How do I undo and redo Core Data actions? ..How do I filter, sort, and aggregate data? ..What is “faulting,” and why should I care? ..Suppose I want to change my data model; how do I migrate my users’ data? . . .Pro Core Data for iOS. delve作者: Asseverate 時(shí)間: 2025-4-1 16:07
