Investigations into machine learning applications in link analysis. Link analysis is an emerging tool for the detection of patterns in structured data. The detection of pattern in such data can lead to the detection of fraud occurrence, security breaches in computer systems, and patterns of social interactions with a community. It is also popularly applied to applications such as Web search engine designs and marketing analysis. This project aims to advance the area of link analysis by allowing ....Investigations into machine learning applications in link analysis. Link analysis is an emerging tool for the detection of patterns in structured data. The detection of pattern in such data can lead to the detection of fraud occurrence, security breaches in computer systems, and patterns of social interactions with a community. It is also popularly applied to applications such as Web search engine designs and marketing analysis. This project aims to advance the area of link analysis by allowing the incorporation of contextual information which accounts for relationships among actors properly. Advances in link detection will allow improvements in security and Web services on which a wide field of national bodies rely. This project can help to place Australia at the forefront of this research area.Read moreRead less
How is information organised in the mind? Learning structured mental representations from data. One of the biggest questions in psychology is to understand the principles that the mind uses to organise information. This project is both a search for these underlying psychological laws, and an attempt to develop new statistical technologies and mathematical tools that can be used to organise information in applied settings.
Nonparametric Machine Learning for Modern Data Analytics. This project intends to develop next-generation machine-learning methods to cope with the growing data deluge. Modern data analytics tasks need to interpret and derive values from complex, growing data. Intended outcomes of the project include new Bayesian nonparametric methods that can express arbitrary dependency amongst multiple, heterogeneous data sources with infinite model complexity, together with algorithms to perform inference an ....Nonparametric Machine Learning for Modern Data Analytics. This project intends to develop next-generation machine-learning methods to cope with the growing data deluge. Modern data analytics tasks need to interpret and derive values from complex, growing data. Intended outcomes of the project include new Bayesian nonparametric methods that can express arbitrary dependency amongst multiple, heterogeneous data sources with infinite model complexity, together with algorithms to perform inference and deduce knowledge from them; new Bayesian statistical inference for set-valued random variables that moves beyond vectors and matrices to enrich our analytics toolbox to deal with sets; and a new deterministic fast inference to meet with real-world demand.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102378
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
What shapes the structure of language? An experimental and computational investigation. How do people learn language so easily, and how is the structure of language shaped by our learning biases? This project attempts to answer these questions through an innovative combination of experimental and computational tools, with implications for technological development as well as educational interventions for both children and adults.
Using diagnostic tests in science as formative assessment to enhance teaching and learning. The success and continuation of science programs in upper secondary school and university is dependent on foundational improvements in science education in lower secondary schools. This proposal is designed to address this national concern by fostering talent in science and encouraging more students to study and enjoy science in a meaningful way. Through planned formative assessment, teachers will enable ....Using diagnostic tests in science as formative assessment to enhance teaching and learning. The success and continuation of science programs in upper secondary school and university is dependent on foundational improvements in science education in lower secondary schools. This proposal is designed to address this national concern by fostering talent in science and encouraging more students to study and enjoy science in a meaningful way. Through planned formative assessment, teachers will enable students in Years 8-10 to think about the science concepts and consider alternative explanations rather than memorise basic facts for a test or examination which are then forgotten. Practical benefits are a large range of valid and reliable tests and a range of teaching approaches for diagnosing student learning difficulties.Read moreRead less
Dynamics of word recognition: new insight from the reach-to-touch paradigm. This project will introduce a new behavioural reach-to-touch paradigm for studying basic cognitive processes such as word recognition. The advantage of this paradigm is that it is able to measure cognitive processes moment-by-moment as they unfold over time. This will provide new insights into the temporal dynamics of basic cognitive processing.
Using generalisation to better treat poor spelling. Spelling is an important skill when expressing one's thoughts in writing and an acute challenge for at least ten per cent of Australian students, who can be years behind in their knowledge. This project will help to improve spelling training by establishing how to facilitate generalisation of spelling knowledge from a learned word to new words.
Risky Futures: Toward a Computational Process Model of Risky Inter-Temporal Choice. A lot is known about people’s preferences. People like their rewards now. Most would prefer $10 today than $20 in one month. Risk is also unattractive; a certain $10 is more attractive than a 50 per cent chance of receiving $25. Surprisingly, much less is known about the interaction between delay and risk. That is, relatively little is known about whether people prefer $10 now, or a 50 per cent chance of $50 in ....Risky Futures: Toward a Computational Process Model of Risky Inter-Temporal Choice. A lot is known about people’s preferences. People like their rewards now. Most would prefer $10 today than $20 in one month. Risk is also unattractive; a certain $10 is more attractive than a 50 per cent chance of receiving $25. Surprisingly, much less is known about the interaction between delay and risk. That is, relatively little is known about whether people prefer $10 now, or a 50 per cent chance of $50 in one month. This project will use a combination of experiments and cognitive modelling to examine all three types of choice. The outcome will be a novel computational model that will elucidate the complex interaction between delay and risk, thereby answering an enduring question in the literature: are risk and delay psychologically equivalent?Read moreRead less
How do people make uncertain predictions? Exemplar-based and category-based approaches to inductive inference. This project is an innovative experimental and field study of how people reason under uncertainty. The project will broaden our understanding of human reasoning and enhance the reputation of Australian cognitive science.
How are beliefs altered by data? Robust Bayesian models for human inductive learning. This project applies state of the art mathematical models to study how people think and reason, and how we can make good guesses about the future. The goal is to understand how the human mind can operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.