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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

作者： Zhuge, Hai Liu, Jie China Knowledge Grid Research Group CAS Key Lab of Intelligent Information Processing Institute of Computing Technology Beijing100080 China

ISBN: (纸本)1581139128

This paper proposes a novel approach to integrate heterogeneous data in P2P networks. The approach includes a tool for building P2P semantic link networks, mechanisms for peer schema mapping, criteria for peer similarity degree measurement, and algorithms for heterogeneous data integration. The approach has three advantages: First, it uses semantic links to describe semantic relationships between peers' data schemas. Second, it deals with the semantic heterogeneity, the structural heterogeneity and the data value inconsistency. Finally, it considers the semantic similarity and structural similarity to forward queries to relevant peers.

关键词： Semantic Web

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Fuzzy reasoning based on prepositional modal logic

Fuzzy reasoning based on prepositional modal logic

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4th International Conference, RSCTC 2004

作者： Zhang, Zaiyue Sui, Yuefei Cao, Cungen Jt. Lab. of Intelligent Computing Department of Computer Science East China Shipbuilding Institute Zhenjiang 212003 China Key Lab. of Intelligent Info. Proc. Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

In order to deal with some vague assertions more efficiently, fuzzy modal logics have been discussed by many researchers. This paper introduces the notation of fuzzy assertion based on propositional modal logic. As an extension of the traditional semantics about the modal logics, the fuzzy Kripke semantics are considered and the formal system of the fuzzy reasoning based on propositional modal logic is established and the properties about the satisfiability of the reasoning system are discussed.

关键词： Formal logic

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Active E-course for constructivist learning 04

Active E-course for constructivist learning

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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

作者： Zhuge, Hai Li, Yanyan China Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China

ISBN: (纸本)1581139128

An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials into a "concept space" rather than a "page space". Besides highly interactive service, it supports adaptive learning by dynamically selecting, organizing and presenting the learning materials for different students. During the learning progress, it also provides assessments on students' learning performances and gives suggestions to guide them in further learning. We have implemented an authoring tool and a course prototype to support the constructivist learning.

关键词： Flexible structures

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An algebraic multi-class classification method

An algebraic multi-class classification method

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Proceedings of 2004 International Conference on Machine Learning and Cybernetics

作者： He, Q. Liu, Zhen-Yan Shi, Zhong-Zhi Key Lab. of Intelligent Info. Proc. Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China School of Software Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)0780384032

An algebraic multi-class classification method AHSC, i.e. Algebraic Hyper Surface Classification, is proposed. The separating algebraic hyper surface of two-class data may be directly constructed by a single polynomial in theory, but it is too difficult to separate multi-class data by a single polynomial even though the polynomial is multivalued. AHSC can be used for classifying multi-class data by integrating a series of polynomial networks based on binary numbers which are used for labeling the classes of samples. The problem that multi-class data can not always be separated by a single polynomial is solved by AHSC. Moreover, the order of polynomial can be chosen by using an adaptive method. The experiment results show that the new method can efficiently and accurately classify multi-class and high dimension data.

关键词： Learning systems

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Future interconnection environment - Dream, principle, challenge and practice : keynote

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3129卷 13-22页

作者： Zhuge, Hai China Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology China

Networks and flows are everywhere in society, nature and virtual world organizing versatile resources and behaviors. Breaking boundaries, this keynote establishes a scenario of the future interconnection environment - a large-scale, autonomous, live, sustainable and intelligent network environment where society, nature, and the environment harmoniously co-exist, cooperatively work and evolve. It automatically senses and collects useful information from the nature, transforms raw information into resources in the environment, and organizes resources in semantic rich normal forms that can be easily understood by both machine and human. Geographically dispersed people and resources can work in cooperation to accomplish tasks and solve problems by actively participating material flows, energy flows, technology flows, information flows, knowledge flows and service flows in the environment through roles and machines, improving the environment and the nature. Parameters, characteristics and principles of the environment are proposed from the system methodology point of view. A case study on a live semantic link network under a reference model of the environment is presented. As a practice, the advanced architecture and technology used in China Knowledge Grid e-science environment IMAGINE-1 is introduced. © Springer-Verlag 2004.

关键词： e-Science

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Robust t-mixture modelling with SMEM algorithm

Robust t-mixture modelling with SMEM algorithm

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Si-Bao Chen Bin Luo Key Lab of Intelligent Computing & Signal Processing of Ministry of Education Anhui University of Science and Technology Hefei China

ISBN: (纸本)0780384032

Multivariate t-mixture modelling is more robust than Gaussian mixture modelling to a set of data containing a group or groups of observations with longer than Gaussian tails or a typical observations. To alleviate the problem of local convergence of the traditional EM algorithm, a split-and-merge operation is introduced into the EM algorithm for multivariate t-mixtures. The split-and-merge equations are first presented theoretically and then a new merge method is acquired. Accordingly, a modified EM algorithm is constructed. Experiments of data clustering and unsupervised color image segmentation are given.

关键词： Robustness Clustering algorithms Signal processing algorithms Image segmentation Parameter estimation Gaussian distribution Probability density function Covariance matrix Tail Equations

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A Multi-layers Neural Network Model based on Characteristics of Ganglions' Receptive Fields in Retina and an Algorithm for Watchfulness-keeping

A Multi-layers Neural Network Model based on Characteristics...

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The Third Asian Conference on Vision (ACV2004)

作者：危辉陆汝钤 Department of Computer Science Lab of Algorithm for Cognitive Model Brain Science Research Center Fudan University Shanghai 200433 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100080 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100080 China

Machine vision is an active branch of Artificial Intelligence. An important problem in this area is the balance among efficiency, accuracy and huge computing. The visual system of human can keep watchfulness to the perimeter of visual field while at same time their central attention is focused to the center of visual field for fine information processing. This mechanism of computing resource assignment could ease the demand for huge and complex hardware structure. Therefore designing computer model based on biological visual

关键词： A Multi-layers Neural Network Model based on Characteristics of Ganglions Receptive Fields in Retina and an Algorithm for Watchfulness-keeping Model

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An abstract method for extracting goal orderings

An abstract method for extracting goal orderings

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WCICA 2004 - Fifth World Congress on intelligent Control and Automation, Conference Proceedings

作者： Li, Ying Jin, Zhi Key Lab. of Intelligent Info. Proc. Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 Graduate School Chinese Academy of Sciences Beijing Institute of Mathematics Acad. of Math. and System Sciences Chinese Academy of Sciences Beijing

ISBN: (纸本)0780382730

Extracting and using goal orderings is a way to improve efficiencies of planning algorithms. During extracting goal orderings, some of existing methods can only deal with atomic goals of a specific problem that will introduce too much redundant work, and the others deal with predicates of a planning domain that can not extract enough goal orderings. The paper addressed an abstract method to extract goal orderings. The method used unification to identify different instantiations of a predicate when dealing with predicates. It can not only reduce redundant work during extracting, but also get enough goal orderings.

关键词： Mathematical techniques

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Combining Character-Based Bigrams with Word-Based Bigrams in Contextual Postprocessing for Chinese Script Recognition

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ACM Transactions on Asian Language Information Processing 2002年第4期1卷 297-309页

作者： Li, Yuanxiang Tan, Chew Lim Ding, Xiaoqing School of Computing National University of Singapore Kent Ridge 117543 Singapore State Key Lab. of Intelligent Technology and Systems Department of Electronic Engineering Tsinghua University Beijing 100084 P. R China

It is crucial to use contextual information to improve the recognition accuracy of Chinese script in an offline, handwritten Chinese character-recognition system. However, with the increase in the number of candidates given by a character recognizer, contextual postprocessing using a word-based bigram is time-consuming. This article presents a novel contextual postprocessing method that integrates character-based bigram postprocessing with word-based bigram postprocessing in light of the complementary action between Chinese characters and Chinese words. On the basis of isolated character recognition, character-based bigram postprocessing using a forward-backward search is first executed on a big candidate set, which improves both the accuracy and efficiency of the candidate set (the cumulative accuracy of the top ten candidates is greatly boosted). Then, to further improve accuracy, word-based bigram postprocessing (WBP) is executed on a small candidate set. This method obtains high accuracy while paying attention to postprocessing speed at the same time. Experimental results for three Chinese scripts (about 66,000 characters in total) demonstrate the effectiveness of our method: character-based bigram postprocessing improves accuracy from 81.58% to 94.50%, and the cumulative accuracy of the top ten candidates rises from 94.33% to 98.25%. After WBP, 95.75% accuracy is achieved, which is equivalent to the accuracy of WBP executed on a big candidate set. However, our method is more than 100 times faster than that of WBP. © 2002, ACM. All rights reserved.

关键词： Algorithms Chinese character recognition contextual postprocessing efficiency of candidate set forward-backward search Languages Performance statistical language model

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KGCL: A knowledge-grid-based cooperative learning environment 1

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1st International Conference on Web-Based Learning, ICWL 2002

作者： Zhuge, Hai Li, Yanyan Bi, Jia Cheung, To-Yat Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China Department of Computer Science City University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)3540440410

Knowledge Grid is a platform that enables uniform and effective knowledge sharing and management across the Internet. Based on this platform, this paper proposes a cooperative learning environment KGCL. It supports the knowledge-level cooperation between human and computer, and enables the enrichment of not only the resources in the Knowledge Grid but also the knowledge of users by means of knowledge refinement, knowledge reuse and drawing together online participants. Currently, the prototype of the KGCL has been implemented and is available for use online. Experiments show that the environment can promote the effectiveness of teamwork. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Computer aided instruction

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