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检索条件"机构=Key Lab.of Machine Learning and Computational Intelligence"
88 条 记 录,以下是61-70 订阅
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THE CONCEPT learning IN THE THEORY OF ROUGH SETS
THE CONCEPT LEARNING IN THE THEORY OF ROUGH SETS
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2008 International Conference on machine learning and Cybernetics(2008机器学习与控制论国际会议)
作者: QUN-FENG ZHANG YU-TING JIANG ZHI-QIANG LI Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Scie Industrial and commercial college Heibei University Baoding 071002 China Hebei Information Engineering School Baoding 071000 China
Knowledge reduction in decision table is important in both theory and application, and it outputs a minimal algorithm as a result. Set of the samples fitting the minimal algorithm is a concept over the set of all poss... 详细信息
来源: 评论
Local, Mid-Level and Convolutional Features Fusion Using Multiple Kernel learning for Image Classification
Local, Mid-Level and Convolutional Features Fusion Using Mul...
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IEEE International Conference on Information Communication and Signal Processing (ICICSP)
作者: Yao Lu Hui Zhang Bojun Xie Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Information Science Hebei University Baoding China
Feature representation and feature fusion are important factors in image classification problem. In this paper, the local features, mid-level features and convolutional features are combined using the multiple kernel ...
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Unsupervised feature selection based on feature relevance
Unsupervised feature selection based on feature relevance
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International Conference on machine learning and Cybernetics (ICMLC)
作者: Feng Zhang Ya-Jun Zhao Jun-Fen Key Lab. of Machine Learning and computational Intelligence Hebei University Baoding China College of Physics Science and Technology Hebei University Baoding China Key Lab. of Machine Learning and computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 China
Feature selection is an essential technique used in data mining and machine learning. Many feature selection methods have been studied for supervised problems. However feature selection for unsupervised learning is ra... 详细信息
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An improved differential evolution and its application to determining feature weights in similarity based clustering
An improved differential evolution and its application to de...
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International Conference on machine learning and Cybernetics (ICMLC)
作者: Chun-Ru Dong Daniel S. Yeung Xi-Zhao Wang Key Lab. of Machine Learning and Computational Intelligence Hebei University Baoding China Machine Learning and Cybernetics Research Center South China University of Technology Guangzhou China
Feature weighting, which is considered as an extension of feature selection techniques, has been successfully applied to improve the performance of clustering. Focusing on the clustering based on a similarity matrix, ... 详细信息
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TWO-PLY ITERATIVE DEEPENING IN CHINESE-CHESS COMPUTER GAME
TWO-PLY ITERATIVE DEEPENING IN CHINESE-CHESS COMPUTER GAME
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2009 International Conference on machine learning and Cybernetics(2009机器学习与控制论国际会议)
作者: XI-ZHAO WANG YU-LIN HE PAN SU WEN-LIANG LI Key Lab.for Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China
In Chinese-chess computer game (CCCG), a computer player could find the best move for a given board position by using alpha-beta search algorithm. The technique of iterative deepening is an enhancement to alpha-beta s... 详细信息
来源: 评论
A PSO-GD-BASED HYBRID ALGORITHM FOR GENERAL FUZZY MEASURE DETERMINATION
A PSO-GD-BASED HYBRID ALGORITHM FOR GENERAL FUZZY MEASURE DE...
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2009 International Conference on machine learning and Cybernetics(2009机器学习与控制论国际会议)
作者: HUAN-YU ZHAO XI-ZHAO WANG Key Lab.for Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China
Determining fuzzy measure from data is an important topic in some practical applications. Some computing techniques are adopted, such as particle swarm optimization (PSO) and gradient descent algorithm (GD), to identi... 详细信息
来源: 评论
Parallel implementation of apriori algorithm based on MapReduce
Parallel implementation of apriori algorithm based on MapRed...
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13th ACIS International Conference on Software Engineering, Artificial intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012
作者: Li, Ning Zeng, Li He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100139 China Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China
Searching frequent patterns in transactional databases is considered as one of the most important data mining problems and Apriori is one of the typical algorithms for this task. Developing fast and efficient algorith... 详细信息
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A text classification method based on the improved CR-tree and the weighted association rule
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Journal of computational Information Systems 2009年 第6期5卷 1577-1584页
作者: Wang, Yu Zhao, Yao Yuan, Fang College of Mathematics and Computer Science Hebei University Baoding 071002 China Key Lab. in Machine Learning and Computational Intelligence of Hebei Province Baoding 071002 China
Classification based on association rules is a common and easily understand algorithm for text classification. To improve its classification accuracy, the key is to generate more effective rules. Sometimes, it will ov... 详细信息
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Support vector machine for suppressing error method
Support vector machine for suppressing error method
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1st International Conference on Information Science and Engineering, ICISE2009
作者: Lu, Shuxia Shi, Pu Chen, Ming Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding China Baoding Pascali Cable TV Integrater Information Network Co. Ltd. Baoding China College of Mathematics and Computer Science Hebei University Baoding China
Support Vector machine (SVM) is sensitive to noises and outliers. For reducing the effect of noises and outliers, we propose a novel SVM for suppressing error function. The error function is limited to the interval of... 详细信息
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Markov property of Markov chains and its test
Markov property of Markov chains and its test
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International Conference on machine learning and Cybernetics (ICMLC)
作者: Yu-Fen Zhang Qun-Feng Zhang Rui-Hua Yu Key Lab. for Machine Learning and Computational Intelligence Hebei University Baoding China Department of Information Technology Baoding University Baoding China
Markov chains, with Markov property as its essence, are widely used in the fields such as information theory, automatic control, communication techniques, genetics, computer sciences, economic administration, educatio... 详细信息
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