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检索条件"机构=Key Lab. for Machine Learning and Computational Intelligence"
91 条 记 录,以下是61-70 订阅
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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 NEW HEURISTIC OF THE DECISION TREE INDUCTION
A NEW HEURISTIC OF THE DECISION TREE INDUCTION
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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: NING LI LI ZHAO AI-XIA CHEN QING-WU MENG GUO-FANG ZHANG Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China
Decision tree induction is one of the useful approaches for extracting classification knowledge from a set of feature-based instances. The most popular heuristic information used in the decision tree generation is the... 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
A NEW ALGORITHM FOR SOLVING CONVEX HULL PROBLEM AND ITS APPLICATION TO FEATURE SELECTION
A NEW ALGORITHM FOR SOLVING CONVEX HULL PROBLEM AND ITS APPL...
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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: FENG GUO XI-ZHAO WANG YAN LI Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China
A new method to solve the convex hull problem in n-dimensional spaces is proposed in this paper. At each step, a new point is added into the convex hull if the point is judged to be out of the current convex hull by a... 详细信息
来源: 评论
NRMCS: NOISE REMOVING BASED ON THE MCS
NRMCS: NOISE REMOVING BASED ON THE MCS
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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: XI-ZHAO WANG BO WU YU-LIN HE XIANG-HAO PEI Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China
MCS (Minimal Consistent Set) is one of the classical algorithms for minimal consistent subset selection problem. However, when noisy samples are present classification accuracy can suffer. In addition, noise affect th... 详细信息
来源: 评论
A new instance selection algorithm based on contribution for nearest neighbour classification
A new instance selection algorithm based on contribution for...
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International Conference on machine learning and Cybernetics
作者: Cai, Yong-Hua Wu, Bo He, Yu-Lin Zhang, Ye Department of Mathematics and Computer Science Hebei Normal University for Nationalities Chengde067000 Hebei China Automation Department Chengde Iron and Steel Branch Hebei Iron and Steel Group Co. Ltd. Chengde 067000 Hebei China Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China
Nearest Neighbor Classifier is one of the most classical lazy learning schemes. The basic nearest neighbor classifiers suffer from the common problem that the instances used to train the classifier are all stored indi... 详细信息
来源: 评论
A DYNAMIC FUZZY MEASURE FOR MULTIPLE CLASSIFIER FUSION
A DYNAMIC FUZZY MEASURE FOR MULTIPLE CLASSIFIER FUSION
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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: YA-JING ZHANG XUE-FEI LI JUN-FEN CHEN HUI-MIN FENG College of Science Agricultural University of Hebei Baoding 071001 China Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Scie
It has been shown that the fuzzy integral is an effective tool for the fusion of multiple classifiers. Of primary importance in the development of the system is the choice of the measure which embodies the importance ... 详细信息
来源: 评论
AN INSTANCE SELECTION ALGORITHM BASED ON CONTRIBUTION
AN INSTANCE SELECTION ALGORITHM BASED ON CONTRIBUTION
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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: XI-ZHAO WANG NING ZHANG TAO XIAO Key Lab.for Machine Learning and Computational Intelligence College of Mathematics and Computer Sci College of Science Agricultural University of Hebei Baoding 071002 China
This paper presents an approach to instance selection for the nearest neighbor rule which aims to obtain a condensed set with high condensing rate and prediction accuracy. By making an improvement on MCS algorithm and... 详细信息
来源: 评论
Refining Width Parameter of Gaussian Kernel Functionfor Tuning Coherent Point Drift(CPD) Registration
Refining Width Parameter of Gaussian Kernel Functionfor Tuni...
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作者: Junfen CHEN Qiang HE Yan LI Key Lab of Machine Learning and Computational Intelligence College of Mathematics and Information Sciences Hebei University School of Sciences Beijing University of Civil Engineering and Architecture
Coherent point drift(CPD), a sophistic non-rigid point sets registration method, is successfully applied in computer vision, medical image analysis, to name a few. Its registration error, however, is affected greatly ... 详细信息
来源: 评论
USING 2-ADDITIVE FUZZY MEASURE IN MULTIPLE CLASSIFIER SYSTEM
USING 2-ADDITIVE FUZZY MEASURE IN MULTIPLE CLASSIFIER SYSTEM
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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: AI-XIA CHEN GUO-FANG ZHANG NING LI LI ZHAO GUO-QIANG YUAN Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Scie Department of Basic Courses Hebei College of Finance Baoding 071051 China
Fuzzy measure and integral are widely used in Multiple Classifier System (MCS). But the number of coefficients involved in the fuzzy integral model grows exponentially with the number of classifiers to be aggregated. ... 详细信息
来源: 评论