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13th Computing: The Australasian Theory Symposium, CATS2007

作者： Jøsang, Audun School of Software Engineering and Data Communications QUT Brisbane Australia

ISBN: (纸本)1920682465

Probabilistic logic combines the capability of binary logic to express the structure of argument models with the capacity of probabilities to express degrees of truth of those arguments. The limitation of traditional probabilistic logic is that it is unable to express uncertainty about the probability values themselves. This paper provides a brief overview subjective logic which is a probabilistic logic that explicitly takes uncertainty about probability values into account. More specifically, we describe equivalent representations of uncertain probabilities, and their interpretations. Subjective logic is directly compatible with binary logic, probability calculus and classical probabilistic logic. The advantage of using subjective logic is that real world situations can be more realistically modelled, and that conclusions more correctly refiect the ignorance and uncertainties about the input arguments. © 2007, Australian Computer Society, Inc.

关键词： Probabilistic logics

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Cross-layer verification of type flaw attacks on security protocols

Cross-layer verification of type flaw attacks on security pr...

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30th Australasian Computer Science Conference, ACSC 2007

作者： Long, Benjamin W. Fidge, Colin J. Carrington, David A. School of Information Technology and Electrical Engineering University of Queensland Brisbane Australia School of Software Engineering and Data Communications Queensland University of Technology Brisbane Australia

ISBN: (纸本)1920682430

Security protocols are often specified at the application layer;however, application layer specifications give little detail regarding message data structures at the presentation layer upon which some implementation-dependent attacks rely. In this paper we present an approach to verifying security protocols in which both the application and presentation layers are modelled. Using the Group Domain of Interpretation protocol as an example, our application layer specification of the protocol is used as input to the AVISPA model checking tool for analysis. Two type flaw attacks are found via model checking which are then verified against the corresponding presentation layer specification, thus identifying the minimal requirements to prevent the attacks. Copyright © 2006, Australian Computer Society, Inc.

关键词： Specifications

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Mining rough association from text documents for web information gathering

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作者： Li, Yuefeng Zhong, Ning School of Software Engineering and Data Communications Queensland University of Technology Brisbane QLD 4001 Australia Department of Information Engineering Maebashi Institute of Technology Maebashi 371-0816 Japan

ISBN: (纸本)9783540716624

It is a big challenge to guarantee the quality of association rules in some application areas (e.g., in Web information gathering) since duplications and ambiguities of data values (e.g., terms). Rough set based decision tables could be efficient tools for solving this challenge. This paper first illustrates the relationship between decision tables and association mining. It proves that a decision rule is a kind of closed pattern. It also presents an alternative concept of rough association rules to improve the quality of discovered knowledge in this area. The premise of a rough association rule consists of a set of terms (items) and a weight distribution of terms (items). The distinct advantage of rough association rules is that they contain more specific information than normal association rules. This paper also conducts some experiments to compare the proposed method with association rule mining and decision tables;and the experimental results verify that the proposed approach is promising. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Association rules

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Probabilistic logic under uncertainty 07

Probabilistic logic under uncertainty

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Proceedings of the thirteenth Australasian symposium on Theory of computing - Volume 65

作者： Audun Jøsang School of Software Engineering and Data Communications Brisbane Australia

ISBN: (纸本)9781920682460

Probabilistic logic combines the capability of binary logic to express the structure of argument models with the capacity of probabilities to express degrees of truth of those arguments. The limitation of traditional probabilistic logic is that it is unable to express uncertainty about the probability values themselves. This paper provides a brief overview subjective logic which is a probabilistic logic that explicitly takes uncertainty about probability values into account. More specifically, we describe equivalent representations of uncertain probabilities, and their interpretations. Subjective logic is directly compatible with binary logic, probability calculus and classical probabilistic logic. The advantage of using subjective logic is that real world situations can be more realistically modelled, and that conclusions more correctly reflect the ignorance and uncertainties about the input arguments.

关键词： belief theory beta opinion probabilistic logic subjective logic uncertainty dirichlet

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Mining world knowledge for analysis of search engine content

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Web Intelligence and Agent Systems 2007年第3期5卷 233-253页

作者： King, John D. Li, Yuefeng Tao, Xiaohui Nayak, Richi School of Software Engineering and Data Communications Queensland University of Technology QLD 4001 Australia

Little is known about the content of the major search engines. We present an automatic learning method which trains an ontology with world knowledge of hundreds of different subjects in a three-level taxonomy covering the documents offered in our university library. We then mine this ontology to find important classification rules, and then use these rules to perform an extensive analysis of the content of the largest general purpose internet search engines in use today. Instead of representing documents and collections as a set of terms, we represent them as a set of subjects, which is a highly efficient representation, leading to a more robust representation of information and a decrease of synonymy.

关键词： data mining

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A bottom-up term extraction approach forweb-based translation in Chinese-english IR systems

ADCS 2007 - Proceedings of the Twelfth Australasian Document...

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ADCS 2007 - Proceedings of the Twelfth Australasian Document Computing Symposium 2007年 64-71页

作者： Lu, Chengye Xu, Yue Geva, Shlomo School of Software Engineering and Data Communications Queensland University of Technology Brisbane QLD 4001 Australia

ISBN: (纸本)9780646484372

The extraction of Multiword Lexical Units (MLUs) in lexica is important to language related methods such as Natural Language Processing (NLP) and machine translation. As one word in one language may be translated into an MLU in another language, the extraction of MLUs plays an important role in Cross-Language Information Retrieval (CLIR), especially in finding the translation for words that are not in a dictionary. Web mining has been used for translating the query terms that are missing from dictionaries. MLU extraction is one of the key parts in search engine based translation. The MLU extraction result will finally affect the transition quality. Most statistical approaches to MLU extraction rely on large statistical information from huge corpora. In the case of search engine based translation, those approaches do not perform well because the size of corpus returned from a search engine is usually small. In this paper, we present a new string measurement and new Chinese MLU extraction process that works well on small corpora.

关键词： Extraction

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EDITORIAL

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International Journal of Pattern Recognition and Artificial Intelligence 2007年第4期21卷 607-609页

作者： YUEFENG LI NING ZHONG School of Software Engineering and Data Communications Queensland University of Technology Brisbane QLD 4001 Australia Department of Information Engineering Maebashi Institute of Technology Maebashi 371-0816 Japan

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Methodic Design of Robot Vision Systems

Methodic Design of Robot Vision Systems

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IEEE International Conference on Mechatronics and Automation

作者： Joaquin Sitte Petra Winzer School of Software Engineering and Data Communications Queensland University of Technology Brisbane Australia Department of Product Safety and Quality Bergische University of Wuppertal Wuppertal Germany

In this paper we use the design of an innovative on-board vision system for a small commercial minirobotto demonstrate the application of a demand compliant design (DeCoDe) method. Vision systems are amongst the most complex sensor systems both in nature and in engineering and thus provide an excellent arena for testing design methods. A review of current design methods for mechatronic systems shows that there are no methods that support or require a complete description of the product system. The DeCoDe method is a step towards overcoming this deflciencty. The minirobot robot design is carried from the generic vision system level down to first refinement for a minirobot vision system for visual navigation.

关键词： Design methodology Robot vision systems Machine vision Robotics and automation Orbital robotics Image sensors Robot sensing systems Mechatronics Application software Decoding

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An improvement to collaborative filtering for recommender systems

An improvement to collaborative filtering for recommender sy...

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International Conference on Computational Intelligence for Modelling, Control and Automation/International Conference on Intelligent Agents Web Technologies and International Commerce

作者： Weng, Li-Tung Xu, Yue Li, Yuefeng Nayak, Richi School of Software Engineering and Data Communications Queensland University of Technology QLD 4001 Australia

ISBN: (纸本)0769525040

Collaborative filtering recommenders utilize a database of user preferences to make personal product suggestions, and have achieved widespread successes in various e-commerce applications nowadays. Inverse User Frequency is one of most well known approaches to improve the accuracy of the standard collaborative filtering recommender[1]. In this paper, we propose a Statistical Attribute Distance method that uses the similarity in statistics of users' ratings to calculate the user correlation instead of using the statistics of users that rate for similar items. Form our experiment results we suggest the Statistical Attribute Distance outperforms Inverse User Frequency in recommendation accuracy and scalability.

关键词： Digital filters

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Hardware in-the-loop training of analogue neural network chip

Hardware in-the-loop training of analogue neural network chi...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Zhang, Liang Sitte, Joaquin School of Software Engineering and Data Communications Queensland University of Technology Brisbane Australia

ISBN: (纸本)3540344829

In this paper we present the results of neural network hardware in-the-loop training for an analogue Local Cluster Neural Network (LCNN) chip. We use a Probabilistic Random Weight Change (PRWC) algorithm that is a combination of the random weight change and simulated annealing algorithms. We applied the PRWC algorithm to in-the-loop training for multi-dimensional function approximations and for predictions. We discuss the training strategy and the experiment results. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Neural networks

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