A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli an ....A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli and constitutes a perplexing problem for cognitive theory. This project involves an international collaborative effort by five leading researchers in mathematical psychology to develop a comprehensive, integrative model of human performance in absolute identification tasks.
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Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition an ....Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition and an efficient algorithm for constructing and training NNE. Practical outcomes will include research training for early career researchers and new modelling tools for data mining, robotics and multi-agent systems. The project contributes to the national priority area of smart information use.Read moreRead less
Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be ....Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be the gaining of skills in research techniques, e.g., utilising a support vector machine as a classification tool, data mining techniques developed originally by the Australian partner's group, and in further developments of these techniques with specific applications to the internet web page mining problem.Read moreRead less
Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how t ....Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how these two factors affect the scores of a web page in a search engine, and hence how they affect the visibility of the page in response to a query.
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Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environm ....Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environment for large classification tasks, and Prof. Lee¡¯s work will focus in managing large amounts of data for them. Using his experience in data compression, databases and web applications, he will produce a set of tools for handling Gigabytes of textual data in our classification environment.Read moreRead less
Meta-Ontology based Protocols for the Cooperation in Heterogeneous Agent Systems. Cooperation and communication are two important research issues in the area of multi-agent systems and distributed artificial intelligence. The aim of this project is to study and develop meta-ontology based protocols for cooperation in multi-agent systems. The outcomes of the project include semantics of meta-ontology, a conceptual model to encompass the defined semantics, implementation of the model, and test res ....Meta-Ontology based Protocols for the Cooperation in Heterogeneous Agent Systems. Cooperation and communication are two important research issues in the area of multi-agent systems and distributed artificial intelligence. The aim of this project is to study and develop meta-ontology based protocols for cooperation in multi-agent systems. The outcomes of the project include semantics of meta-ontology, a conceptual model to encompass the defined semantics, implementation of the model, and test results in an open environment. The Key Laboratory of Intelligent Information Processing at Institute of Computing Technology, Chinese Academy of Sciences, is very active in the area of distributed artificial intelligence and agent technologies, and is an ideal partner for this project.Read moreRead less