RMIT University
Computer Science & IT
this is the extended research work where we tried to add more sections in Quality instruments to their role in achieving interoperability in e-learning and quality. In this paper we included more reference models such as experiences of... more
for their patience, guidance and encouragement throughout this research project. Without their supervision and constant help this work would not have been possible. I also would like to thank Dr Falk Scholer and Dr Wilson Wong, who... more
Traditionally Evolutionary Algorithms (EAs) choose candidate solutions based on their individual fitnesses, usually without directly looking for patterns in the fitness landscape discovered. These patterns often contain useful information... more
Symbol detection in multi-input multi-output (MIMO) communication systems using different particle swarm optimization (PSO) algorithms is presented. This approach is particularly attractive as particle swarm intelligence is well suited... more
Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These niching parameters, often used to inform a niching algorithm... more
In this paper, we propose a metric for evaluating the performance of user-preference based evolutionary multiobjective algorithms by defining a preferred region based on the location of a user-supplied reference point. This metric uses a... more
Procedurally generating content for video games is gaining interest as an approach to mitigate rising development costs and meet users' expectations for a broader range of experiences. This paper explores the use of evolutionary... more
In this paper we introduce a novel approach to agent control in competitive video games which combines Monte Carlo Tree Search (MCTS) and Apprenticeship Learning (AL). More specifically, an opponent model created through AL is used during... more
In this vision paper we explore the potential for enhancing theme parks through the introduction of adaptive cyber-physical attractions. That is, some physical attraction that is controlled by a digital system, which takes participants'... more
Compression reduces both the size of indexes and the time needed to evaluate queries. In this paper, we revisit the compression of inverted lists of document postings that store the position and frequency of indexed terms, considering two... more
Several recent studies have demonstrated that the type of improvements in information retrieval system effectiveness reported in forums such as SIGIR and TREC do not translate into a benefit for users. Two of the studies used an instance... more
Hundreds of millions of users each day use web search engines to meet their information needs. Advances in web search effectiveness are therefore perhaps the most significant public outcomes of IR research. Query expansion is one such... more
Clickthrough data has been the subject of increasing popularity as an implicit indicator of user feedback. Previous analysis has suggested that user click behaviour is subject to a quality bias-that is, users click at different rank... more
Collection sizes, query rates, and the number of users of Web search engines are increasing. Therefore, there is continued demand for innovation in providing search services that meet user information needs. In this article, we propose... more
Abstract The batch evaluation of information retrieval systems typically makes use of a testbed consisting of a collection of documents, a set of queries, and for each query, a set of judgements indicating which documents are relevant.... more
- by Falk Scholer
ABSTRACT This paper introduces a set of Japanese phonetic matching functions for the open source relational database PostgreSQL. Phonetic matching allows a search system to locate approximate strings according to the sound of a term. This... more
- by Falk Scholer
This paper explores visualizations of document collections, which we call topic maps. Our topic maps are based on a topic model of the document collection, where the topic model is used to determine the semantic content of each document.... more
- by Falk Scholer