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检索条件"机构=Open Symbol Computation and Knowledge Engineering Laboratory"
269 条 记 录,以下是231-240 订阅
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Adaptive and iterative gene selection based on least squares support vector regression
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Journal of Information and computational Science 2006年 第3期3卷 443-451页
作者: Jiang, Jingqing Wu, Chunguo Song, Chuyi Liang, Yanchun Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Changchun 130012 China College of Mathematics and Computer Science Inner Mongolia University for Nationalities Tongliao 028043 China Key Laboratory of Information Science and Engineering of Railway Ministry The Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing 100044 China
Cancer classification and identification are major areas in medical research. DNA microarrays could provide useful information for cancer classification at the gene expression level. The number of genes in a microarra... 详细信息
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The batch patching method using dynamic cache of proxy cache for streaming media
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4th International Conference on Grid and Cooperative Computing - GCC 2005
作者: Xu, Zhiwen Guo, Xiaoxin Che, Xiangjiu Wang, Zhengxuan Pang, Yunjie Open Symbol Computation and Knowledge Engineering Laboratory State Education Department Jilin University 130012 Jilin Province China
The proxy cache for streaming media is the important method to economize the resources of the Internet. The cache policies influence the effect for proxy cache. In this paper, based on the client's request rate, c... 详细信息
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Solving job-shop scheduling problems by a novel artificial immune system
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18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
作者: Ge, Hong-Wei Sun, Liang Liang, Yan-Chun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
The optimization of job-shop scheduling is very important because of its theoretical and practical significance. This paper proposes an efficient scheduling method based on artificial immune systems. In the proposed m... 详细信息
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DualRank: A dual-phase algorithm for optimal profit mining in retailing market
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10th Asian Computing Science Conference, ASIAN 2005
作者: Xu, Xiujuan Jia, Lifeng Wang, Zhe Zhou, Chunguang Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
We systematically propose a dual-phase algorithm, DualRank, to mine the optimal profit in retailing market. DualRank algorithm has two major phases which are called mining general profit phase and optimizing profit ph... 详细信息
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A hidden markov model and immune particle swarm optimization-based algorithm for multiple sequence alignment
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18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
作者: Ge, Hong-Wei Liang, Yan-Chun Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun 130012 China
Multiple sequence alignment (MSA) is a fundamental and challenging problem in the analysis of biologic sequences. In this paper, an immune particle swarm optimization (IPSO) is proposed, which is based on the models o... 详细信息
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Mining maximal sequential patterns
Mining maximal sequential patterns
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2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05
作者: Guan, En-Zheng Chang, Xiao-Yu Wang, Zhe Zhou, Chun-Guang Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
To solve the problem that when patterns are long, frequent sequential patterns mining may generate an exponential number of results, which often makes decision-makers perplexed for there is too much useless repeated i... 详细信息
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Robust estimation of the fundamental matrix based on an error model
Robust estimation of the fundamental matrix based on an erro...
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Zhong, Hui-Xiang Feng, Yue-Ping Pang, Yun-Jie Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
A new method is presented for robustly estimating fundamental matrix from matched points. The method comprises two parts. The first uses a robust technique-the random sample consensus (RANSAC) to discard outliers in a... 详细信息
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An extended system method for consistent fundamental matrix estimation
An extended system method for consistent fundamental matrix ...
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International Conference on Intelligent Computing, ICIC 2005
作者: Zhong, Huixiang Feng, Yueping Pang, Yunjie Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
This paper is concerned with solution of the consistent fundamental matrix estimation in a quadratic measurement error model. First an extended system for determining the estimator is proposed, and an efficient implem... 详细信息
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Novel measurement for mining effective association rules
Novel measurement for mining effective association rules
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Wei, Jin-Mao Yi, Wei-Guo Wang, Ming-Yang Institute of Computational Intelligence Northeast Normal University ChangChun Jilin 130024 China Open Symbol Computation and Knowledge Engineering Laboratory State Education Department Jilin University
In this paper, we analyze the method of support-confidence framework when mining association rules. In order to avoid the limitation in the criterion, we propose a new method of match as the substitution of confidence... 详细信息
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An integration of cotraining and KNN for LPU problem
An integration of cotraining and KNN for LPU problem
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2nd Indian International Conference on Artificial Intelligence, IICAI 2005
作者: Xin, RuiMing Zuo, WanLi Yang, Ping Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology JiLin University Changchun 130012 China
Under the framework of LPU (learning from positive data and unlabeled data), this paper originally proposes a three-step algorithm. First, Co-Training is employed for filtering out the "suspect positive" dat... 详细信息
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