Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by ....Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by Monash) and Support Vector Machines, in order to create efficient tailor-made software.
Our software will respond to specific groups of users, and their changes over time, rather than just the average user. Moreover, it will integrate the functionalities of existing individual data mining software.Read moreRead less
Resource-bounded adaptive inference of accurate conditional probability estimates from data. This project will develop machine learning techniques with a valuable new capability: the ability to produce estimates of complex conditional probabilities to varying levels of expected accuracy depending upon the constraints of available computational resources. This will provide significant competitive advantage to developers of many types of online application by allowing them to maximise utilisation ....Resource-bounded adaptive inference of accurate conditional probability estimates from data. This project will develop machine learning techniques with a valuable new capability: the ability to produce estimates of complex conditional probabilities to varying levels of expected accuracy depending upon the constraints of available computational resources. This will provide significant competitive advantage to developers of many types of online application by allowing them to maximise utilisation of available computational resources when making inferences from data, together with the flexibility to trade-off accuracy and computing resources during system design. Australia will also benefit by strengthening its machine learning expertise, which is central to many complex and intelligent systems and the booming data mining industry.Read moreRead less
Supporting adaptive, interactive documents. The project will improve comprehensibility of technical material, reduce paper usage, encourage collaborative science, improve the reliability of published science (by allowing post-publication annotation and correction), and improve the accessibility of technical material for readers who are blind or have poor vision. The project also holds considerable potential for supporting Australian companies in the publishing and document processing industries.
Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of conce ....Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of concept of an application that enables business intelligence to automatically process free-form feedback from customers and employees, with resultant recommendations leading to increased customer and employee satisfaction. The applicability of the outcomes of this research to service industries will further improve Australia's service reputation.Read moreRead less
Query interpretation and response generation in large on-line resources. The unprecedented information explosion associated with the evolution of the Internet makes salient the challenge of providing users with answers to queries posed to Internet resources. The proposed project will apply machine learning and reasoning under uncertainty techniques to leverage the large amount of data found in the Internet in order to perform three tasks: (1) infer users' informational goals from their questions ....Query interpretation and response generation in large on-line resources. The unprecedented information explosion associated with the evolution of the Internet makes salient the challenge of providing users with answers to queries posed to Internet resources. The proposed project will apply machine learning and reasoning under uncertainty techniques to leverage the large amount of data found in the Internet in order to perform three tasks: (1) infer users' informational goals from their questions, (2) modify questions to improve the accuracy of retrieval engines, and (3) compose concise replies from the retrieved documents. The envisioned outcome of this project is a system that will generate replies to questions posed to on-line resources.Read moreRead less
Deja-Vu -- A mechanism for constructing dialogue memory for resource-bounded agents. The ability to provide contextual information during interactions with computer systems has great potential to improve the overall experience for users. We propose to develop such an ability in the form of an automatically generated, continuously updated ``dialogue memory'', which may reside at server sites or in the PDAs of individual users. This memory will be generated by means of a novel approach which combi ....Deja-Vu -- A mechanism for constructing dialogue memory for resource-bounded agents. The ability to provide contextual information during interactions with computer systems has great potential to improve the overall experience for users. We propose to develop such an ability in the form of an automatically generated, continuously updated ``dialogue memory'', which may reside at server sites or in the PDAs of individual users. This memory will be generated by means of a novel approach which combines Natural Language techniques to extract dialogue features, model-selection techniques to cluster related dialogues, and cognitive modeling techniques to prune the resultant memories. The implemented computer system will be tested in the domain of trouble-shooting dialogues.Read moreRead less
A Minimum Message Length Approach for Discourse Interpretation. The ability to communicate with computer systems in Natural Language has great potential to improve the overall experience for users. However, current systems support only limited means of communication. In this project, we propose to investigate the application of model-selection techniques for interpreting human discourse. In particular, we will consider situations where the computer interprets users' discourse in the context of i ....A Minimum Message Length Approach for Discourse Interpretation. The ability to communicate with computer systems in Natural Language has great potential to improve the overall experience for users. However, current systems support only limited means of communication. In this project, we propose to investigate the application of model-selection techniques for interpreting human discourse. In particular, we will consider situations where the computer interprets users' discourse in the context of its own knowledge. The versatility of our approach will be demonstrated by using it to (1) interpret discourse in a human-computer dialogue, (2) provide feedback to short essays, and (3) determine the impact of a document on a model.Read moreRead less
Personalised Content Delivery for Assisted Navigation of Information Rich, Physical Environments such as a Museum. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The collaborations within the project will make Melbourne a hub for research in user modeling and language technology. This will attract post-graduate students in these areas, and potentially commercialisation interest. ....Personalised Content Delivery for Assisted Navigation of Information Rich, Physical Environments such as a Museum. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The collaborations within the project will make Melbourne a hub for research in user modeling and language technology. This will attract post-graduate students in these areas, and potentially commercialisation interest. The demonstration prototypes will provide proof of concept of eventual applications that improve the capabilities of the environments in which we live. These applications, which can be investigated by follow-up projects, will in turn encourage collaborations with Australian companies seeking to build innovative software applications.Read moreRead less
Transaction Oriented Computational Models for Multi Agent Systems. Agent systems are a very promising technology for constructing complex, large-scale software. Australian researchers have made key
contributions in this area, particularly with reference to one mature and commonly adopted agent architecture known as BDI (Belief, Desire, Intention). To make this technology suitable for use in advanced applications, it has to be provided with robust and predictable behaviour. This project wil ....Transaction Oriented Computational Models for Multi Agent Systems. Agent systems are a very promising technology for constructing complex, large-scale software. Australian researchers have made key
contributions in this area, particularly with reference to one mature and commonly adopted agent architecture known as BDI (Belief, Desire, Intention). To make this technology suitable for use in advanced applications, it has to be provided with robust and predictable behaviour. This project will address that need by designing and implementing a novel agent language for BDI, based on contributions using transactional concepts for agents developed at The University of Melbourne. This will contribute to the development of robust and predictable agent software, that can be used in complex and large scale applications of the future.
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Multi-sensory Fusion and Understanding in Robotic Assistive Technology Environments. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The synergy between Language Technology and Robotics will attract post-graduate students in these areas, and potentially commercialisation interest. The demonstration prototype will provide proof of concept of an application that improves the capabil ....Multi-sensory Fusion and Understanding in Robotic Assistive Technology Environments. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The synergy between Language Technology and Robotics will attract post-graduate students in these areas, and potentially commercialisation interest. The demonstration prototype will provide proof of concept of an application that improves the capabilities of human-centric environments, especially for people with limited mobility or cognitive function. The deployment of this research will extend the independence of such people beyond the time when they may otherwise need to be institutionalized, which will benefit both them and the remainder of society.Read moreRead less