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检索条件"主题词=adaptive learning algorithm"
37 条 记 录,以下是11-20 订阅
排序:
Intelligent e-learning design for art courses based on adaptive learning algorithms and artificial intelligence
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ENTERTAINMENT COMPUTING 2024年 50卷
作者: Zheng, Wang Anyang Inst Technol Acad Art & Design Anyang 455000 Henan Peoples R China
With the development of digital technology and the popularity of the Internet, e-learning has become an increasingly popular learning method. However, current e-learning systems often lack personalization and intellig... 详细信息
来源: 评论
Sequential sampling techniques for algorithmic learning theory
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THEORETICAL COMPUTER SCIENCE 2005年 第1期348卷 3-14页
作者: Watanabe, O Tokyo Inst Technol Dept Math & Comp Sci Tokyo 1528552 Japan
A sequential sampling algorithm or adaptive sampling algorithm is a sampling algorithm that obtains instances sequentially one by one and determines from these instances whether it has already seen enough number of in... 详细信息
来源: 评论
The Tag Navigation Recommendation with adaptive learning Method
The Tag Navigation Recommendation with Adaptive Learning Met...
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19th Annual International Conference on Management Science and Engineering (ICMSE)
作者: Jiang Wei Pang Xiu-li Harbin Inst Technol Sch Management Harbin 150001 Peoples R China
Social Tags are widely used in web 2.0, and they bring the new chance and challenge to the recommender system, which is used to help users deal with information overload and provide personalized services. There are th... 详细信息
来源: 评论
Sequential sampling techniques for algorithmic learning theory  11th
Sequential sampling techniques for algorithmic learning theo...
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11th International Conference on algorithmic learning Theory (ALT 2000)
作者: Watanabe, O Tokyo Inst Technol Dept Math & Comp Sci Tokyo 1528552 Japan
A sequential sampling algorithm or adaptive sampling algorithm is a sampling algorithm that obtains instances sequentially one by one and determines from these instances whether it has already seen enough number of in... 详细信息
来源: 评论
adaptive Fuzzy Total Sliding-Mode Control of Unknown Nonlinear Systems
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INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 2012年 第3期14卷 434-443页
作者: Lin, Chih-Min Hsu, Chun-Fei Chen, Te-Yu Yuan Ze Univ Dept Elect Engn Tao Yuan 320 Taiwan Tamkang Univ Dept Elect Engn New Taipei City 251 Taiwan
This paper proposes the adaptive fuzzy total sliding-mode control systems with integral (I-AFTSMC) and proportional-integral (PI-AFTSMC) learning algorithms for the unknown nonlinear systems. These AFTSMC systems are ... 详细信息
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Lane-changes prediction based on adaptive fuzzy neural network
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EXPERT SYSTEMS WITH APPLICATIONS 2018年 91卷 452-463页
作者: Tang, Jinjun Liu, Fang Zhang, Wenhui Ke, Ruimin Zou, Yajie Cent S Univ Sch Traff & Transportat Engn Changsha 410075 Hunan Peoples R China Inner Mongolia Agr Univ Sch Energy & Transportat Engn Hohhot 010018 Peoples R China Northeast Forestry Univ Traff Sch Harbin 150040 Heilongjiang Peoples R China Univ Washington Dept Civil & Environm Engn Seattle WA 98195 USA Tongji Univ Minist Educ Key Lab Rd & Traff Engn Shanghai 201804 Peoples R China
Lane changing maneuver is one of the most important driving behaviors. Unreasonable lane changes can cause serious collisions and consequent traffic delays. High precision prediction of lane changing intent is helpful... 详细信息
来源: 评论
Generalized adaptive Bayesian Relevance Feedback for image retrieval in the Orthogonal Polynomials Transform domain
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SIGNAL PROCESSING 2012年 第12期92卷 3062-3067页
作者: Kalpana, J. Krishnamoorthy, R. JR Polytech Coll Tiruchirappalli 620012 Tamil Nadu India Anna Univ Technol Tiruchirappalli India
In this paper, we propose a generalized Bayesian Relevance Feedback (RF) algorithm for image retrieval systems with enhanced adaptability to the users' requirements. The adaptability of the algorithm is owing to t... 详细信息
来源: 评论
Dynamic pruning-based Bayesian support vector regression for reliability analysis
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RELIABILITY ENGINEERING & SYSTEM SAFETY 2024年 244卷
作者: Yu, Shui Ren, Yuyao Wu, Xiao Guo, Peng Li, Yun Univ Elect Sci & Technol China Shenzhen Inst Adv Study Ind Artificial Intelligence Ctr Shenzhen 518110 Peoples R China Southwest Jiaotong Univ Sch Mech Engn Chengdu 610031 Peoples R China i4AI Ltd London WC1N 3AX England
adaptive surrogate-based reliability analysis methods have garnered significant attention due to their potential to enhance computational efficiency in accurately estimating failure probability. However, the candidate... 详细信息
来源: 评论
Identification of Hammerstein Systems with Random Fourier Features and Kernel Risk Sensitive Loss
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NEURAL PROCESSING LETTERS 2023年 第7期55卷 9041-9063页
作者: Zheng, Yunfei Wang, Shiyuan Chen, Badong Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China
Identification of Hammerstein systems with polynomial features and mean square error loss has received a lot of attention due to their simplicity in calculation and solid theoretical foundation. However, when the prio... 详细信息
来源: 评论
Field-programmable gate array-based intelligent dynamic sliding-mode control using recurrent wavelet neural network for linear ultrasonic motor
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IET CONTROL THEORY AND APPLICATIONS 2010年 第9期4卷 1511-1532页
作者: Lin, F. -J. Hung, Y. -C. Chen, S. -Y. Natl Cent Univ Dept Elect Engn Chungli 320 Taiwan
A field-programmable gate array (FPGA)-based intelligent dynamic sliding-mode control (IDSMC) using recurrent wavelet neural network (RWNN) estimator is proposed to control the mover position of a linear ultrasonic mo... 详细信息
来源: 评论