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检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1230 条 记 录,以下是1171-1180 订阅
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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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Information flow security for interactive systems
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International Conference on Embedded and Ubiquitous Computing, EUC 2005
作者: Jin, Ying Liu, Lei Zheng, Xiao-Juan Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education of P.R. China Changchun 130012 China Software College Northeast Normal University Changchun 130117 China
The use of the Internet raises serious behavioural issues regarding, for example, security and the interaction among agents that may travel across links. Model-building such interactive systems is one of the biggest 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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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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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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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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Reasoning about ceteris paribus preference with constraint hierarchy framework
Reasoning about ceteris paribus preference with constraint h...
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International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Yong-Gang Zhang Ji-Gui Sun Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
CP-networks provide a convenient means for expressing preferences in reasoning, but it is not good at handling preferences with hard constraints. The paper proposes a new approach, which transforms the CP-network with... 详细信息
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A Distributed Q-Learning Algorithm for Multi-Agent Team Coordination
A Distributed Q-Learning Algorithm for Multi-Agent Team Coor...
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International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Jing Huang Bo Yang Da-You Liu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
Q-learning is an effective model-free reinforcement learning algorithm. However, Q-learning is centralized and competent only for single agent learning but not multi-agent learning because in later case the size of st... 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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AN IMPROVED BICLUSTERING ALGORITHM AND ITS APPLICATION TO GENE EXPRESSION SPECTRUM ANALYSIS
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Genomics, Proteomics & Bioinformatics 2005年 第3期3卷 189-193页
作者: Hua Qu Liu-Pu Wang Yan-Chun Liang Chun-Guo Wu College of Software Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China Guangzhou Institute of China Telecom Guangzhou 510630 China College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China Key Laboratory of Information Science and Engineering of the Ministry of Railway/Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing 100044 China.
Cheng and Church algorithm is an important approach in biclustering algorithms. In this paper, the process of the extended space in the second stage of Cheng and Church algorithm is improved and the selections of two ... 详细信息
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