6,614 results for Conference item

  • Impact of cardiovascular polypill based therapy on healthy lifestyle behaviour

    Webster, R; Bullen, Christopher; Patel, A; Rodgers, A; Selak, Vanessa; Thom, S (2015-05)

    Conference item
    The University of Auckland Library

    View record details
  • Impact of polypill based therapy on SBP and LDL cholesterol control stratified by potency of baseline regimen

    Webster, R; Patel, A; Thom, S; Selak, Vanessa; Bullen, Christopher; Stepien, S; Rodgers, A (2015)

    Conference item
    The University of Auckland Library

    Heart, Lung and Circulation, 24, Supplement 3.

    View record details
  • Zombie architecture: Sacrifice in Polynesia and European Buildings

    Jenner, Gordon; Refiti, ALBERT (2015-07)

    Conference item
    The University of Auckland Library

    View record details
  • The Formation of Variation Contracts in New Zealand: Is Estoppel a Better Bet?

    Roberts, Marcus (2016-02-23)

    Conference item
    The University of Auckland Library

    This paper will review the current New Zealand approach to the formation of variation contracts. In particular, it will critique the current position taken by the Court of Appeal that either a practical benefit can be good consideration, or that consideration is not needed for variation agreements. The paper will then explore the implications of using estoppel as an alternative basis for variation agreements to be enforced where consideration has not been provided by the promisee.

    View record details
  • Recognition of expression variant faces - a principle component analysis based approach for access control

    Nagendrarajah, J; Muthupoltotage, US (2010-12)

    Conference item
    The University of Auckland Library

    Machine automated face recognition has gained significant importance due to its scientific challenges and its potential applications. However, most of the systems designed to date can only successfully recognize faces when images are obtained under constrained conditions. The success of face recognition systems rely on a variety of information in images of human faces such as pose, facial expression, occlusion and presence or absence of structural components. The proposed model targets an approach for the recognition of expression variant faces since there are very few face recognition solutions to address this problem and this is a key research area in face recognition. This model proposes an approach to face recognition where the facial expression in the training image and in the testing image diverge and only a single sample image per class is available to the system. The input to the system is a frontal face image with neutral expression and identical background where the subjects' hair is tied away from the face. The proposed model is based on Principal Component Analysis approach. This approach has been applied on a set of images in order to extract a set of Eigen-images known as Eigen faces and weights of this representation are used for recognition. For the classification task, distance metric Euclidean Distance has been used to find the distance with the weight vectors associated with each of the training images. When tested with eight subjects and six basic expressions the overall recognition rate was 89%, for trained faces.

    View record details
  • Evaluating OpenMP Implementations for Java Using PolyBench

    Fan, X; Feng, R; Sinnen, Oliver; Giacaman, Nasser (2016)

    Conference item
    The University of Auckland Library

    This paper proposes a benchmark suite to evaluate the performance and scalability of (unofficial) OpenMP implementations for Java. The benchmark suite is based on our Java port of PolyBench, a Polyhedral Benchmark suite. We selected PolyBench instead of other existing benchmarks, like JGF, as it allows us to run and use the OpenMP C version as a performance and scalability reference. Further, PolyBench was conceived as a benchmark suite to analyse the optimisation capabilities of compilers. It is interesting to study these capabilities in the OpenMP context of a dynamically compiled language like Java in comparison to the statically compiled C. We apply the benchmark suite to two Java OpenMP implementations, Pyjama and JOMP, and compare with C code compiled by GCC, optimised and unoptimised. The sometimes surprising and unexpected results shed light on the appropriateness of Java as an OpenMP platform, the areas for improvement and the usefulness of this benchmark suite.

    View record details
  • The motivation and development of MPAi, a M??ori Pronunciation Aid

    Watson, Catherine; Keegan, Peter; Maclagan, MA; Harlow, R; King, J (2017-08-20)

    Conference item
    The University of Auckland Library

    This paper outlines the motivation and development of a pronunciation aid (MPAi) for the M??ori language, the language of the indigenous people of New Zealand. M??ori is threatened and after a break in transmission the language is currently undergoing revitalization. The data for the aid has come from a corpus of 60 speakers (men and women). The language aid allows users to model their speech against exemplars from young speakers or older speakers of M??ori. This is important, because of the status of the elders in the M??ori speaking community, but it also recognizes that M??ori is undergoing substantial vowel change. The pronunciation aid gives feedback on vowel production via formant analysis, and selected words via speech recognition. The evaluation of the aid by 22 language teachers is presented and the resulting changes are discussed.

    View record details
  • The Formation of Variation Contracts in New Zealand: Consideration and Estoppel

    Roberts, Marcus (2016)

    Conference item
    The University of Auckland Library

    This article will review the current New Zealand approach to the formation of variation contracts. In particular, it will critique the current position taken by the Court of Appeal that either: a practical benefit can be good consideration;, or consideration is not needed for variation agreements. The article will then explore some of the implications of using estoppel as an alternative basis to enforce variation agreements when consideration has not been provided by the promisee

    View record details
  • Client-Directed, Outcome-Informed approach to problem gambling interventions : examination of ORS/SRS data for clients seeking assistance for gambling problems.

    Bridgman, Geoffrey; Rosen, F. (2018-05-15T14:30:05Z)

    Conference item
    Unitec

    Aims & objectives of research project Overview of the Outcome Rating Scale (ORS) & the Session Rating Scale (SRS) Overview of PGFNZ’s use of the ORS & SRS Findings Summary and conclusions

    View record details
  • Conditional density estimation with class probability estimators

    Frank, Eibe; Bouckaert, Remco R. (2009)

    Conference item
    University of Waikato

    Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estimate is available, then prediction intervals can be derived from it. In this paper we compare three techniques for computing conditional density estimates using a class probability estimator, where this estimator is applied to the discretized target variable and used to derive instance weights for an underlying univariate density estimator; this yields a conditional density estimate. The three density estimators we compare are: a histogram estimator that has been used previously in this context, a normal density estimator, and a kernel estimator. In our experiments, the latter two deliver better performance, both in terms of cross-validated log-likelihood and in terms of quality of the resulting prediction intervals. The empirical coverage of the intervals is close to the desired confidence level in most cases. We also include results for point estimation, as well as a comparison to Gaussian process regression and nonparametric quantile estimation.

    View record details
  • Fast conditional density estimation for quantitative structure-activity relationships

    Buchwald, Fabian; Girschick, Tobias; Kramer, Stefan; Frank, Eibe (2010)

    Conference item
    University of Waikato

    Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to quantify the uncertainy of a QSAR prediction is to predict the conditional density of the activity given the structure instead of a point estimate. If a conditional density estimate is available, it is easy to derive prediction intervals of activities. In this paper, we experimentally evaluate and compare three methods for conditional density estimation for their suitability in QSAR modeling. In contrast to traditional methods for conditional density estimation, they are based on generic machine learning schemes, more specifically, class probability estimators. Our experiments show that a kernel estimator based on class probability estimates from a random forest classifier is highly competitive with Gaussian process regression, while taking only a fraction of the time for training. Therefore, generic machine-learning based methods for conditional density estimation may be a good and fast option for quantifying uncertainty in QSAR modeling.

    View record details
  • Mahi whakatieke: Increasing exercise compliance with Māori students

    Butterworth, Matthew (2003)

    Conference item
    University of Waikato

    The aim of the study was to implement an intervention package based on Shelton and Levy’s propositions with Māori students to increase their compliance to an exercise programme that used walking. Three out of four participants walked more regularly when the intervention package was implemented, compared to previous stages of the research. Only two participants continued to walk for exercise regularly in Follow Up. This was consistent with previous exercise literature that has found that only 50% of people will still be exercising 3-6 months after starting. However, all participants reported that they had incorporated more regular physical activity into their lifestyles Post Follow Up. These findings indicate that this multifaceted approach to increasing exercise compliance holds promise in terms of making changes to achieve a more active lifestyle that will last in the long term.

    View record details
  • Measuring inter-indexer consistency using a thesaurus

    Medelyan, Olena; Witten, Ian H. (2006)

    Conference item
    University of Waikato

    When professional indexers independently assign terms to a given document, the term sets generally differ between indexers. Studies of inter-indexer consistency measure the percentage of matching index terms, but none of them consider the semantic relationships that exist amongst these terms. We propose to represent multiple-indexers data in a vector space and use the cosine metric as a new consistency measure that can be extended by semantic relations between index terms. We believe that this new measure is more accurate and realistic than existing ones and therefore more suitable for evaluation of automatically extracted index terms.

    View record details
  • Family visits to libraries and bookshops: observations and implications for digital libraries

    Vanderschantz, Nicholas; Timpany, Claire; Hinze, Annika; Cunningham, Sally Jo (2014)

    Conference item
    University of Waikato

    This paper explores how families select books for leisure reading. We recruited 17 families (adults and children) for this study, and spent time with each in both bookshops and public libraries. Our research aims to add to understanding of how families interact with books and bookshelves in these places, and how digital libraries might best support the shared needs of these inter-generational users. Much of our understanding of how an eBook should look and feel comes from generalizations about books and assumptions about the needs of those individuals who read them. We explore how children and adults search and browse for books together, with specific focus on the type of information seeking tasks that families undertake and on the families’ shared search and browsing strategies. We further explore the implications of this study for the development of digital libraries for children and families.

    View record details
  • One-Class Classification by Combining Density and Class Probability Estimation

    Hempstalk, Kathryn; Frank, Eibe; Witten, Ian H. (2008)

    Conference item
    University of Waikato

    One-class classification has important applications such as outlier and novelty detection. It is commonly tackled using density estimation techniques or by adapting a standard classification algorithm to the problem of carving out a decision boundary that describes the location of the target data. In this paper we investigate a simple method for one-class classification that combines the application of a density estimator, used to form a reference distribution, with the induction of a standard model for class probability estimation. In this method, the reference distribution is used to generate artificial data that is employed to form a second, artificial class. In conjunction with the target class, this artificial class is the basis for a standard two-class learning problem. We explain how the density function of the reference distribution can be combined with the class probability estimates obtained in this way to form an adjusted estimate of the density function of the target class. Using UCI datasets, and data from a typist recognition problem, we show that the combined model, consisting of both a density estimator and a class probability estimator, can improve on using either component technique alone when used for one-class classification. We also compare the method to one-class classification using support vector machines.

    View record details
  • Revisiting multiple-instance learning via embedded instance selection

    Foulds, James Richard; Frank, Eibe (2008)

    Conference item
    University of Waikato

    Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learner to a propositionalized version of MI data. However, the original authors consider only one single-instance base learner for the algorithm — the 1-norm SVM. We present an empirical study investigating the efficacy of alternative base learners for MILES, and compare MILES to other MI algorithms. Our results show that boosted decision stumps can in some cases provide better classification accuracy than the 1-norm SVM as a base learner for MILES. Although MILES provides competitive performance when compared to other MI learners, we identify simpler propositionalization methods that require shorter training times while retaining MILES’ strong classification performance on the datasets we tested.

    View record details
  • A mobile reader for language learners

    König, Jemma; Witten, Ian H.; Wu, Shaoqun (2016)

    Conference item
    University of Waikato

    This paper describes a new approach to mobile language learning; a mobile reader that aids learners in extending the breadth of their existing vocabulary knowledge. The FLAX Reader supports L2 (second language) learners in English by building a personalized learner model of receptive vocabulary acquisition. It provides dictionary lookup for words that they struggle with, tracks a learner's reading speed, and models their vocabulary acquisition, generat-ing appropriate exercises to aid in a learner’s personal language growth.

    View record details
  • Learning collocations with FLAX apps

    Yu, Alex; Wu, Shaoqun; Witten, Ian H.; König, Jemma (2016)

    Conference item
    University of Waikato

    The rise of Mobile Assisted Language Learning has brought a new dimension and dynamic into language classes. Game-like apps have become a particularly effective way to promote self-learning to young learners outside classroom. This paper describes a system called FLAX that allows teachers to automatically generate a variety of collocation games from a con-temporary collocation database built from Wikipedia text. These games are fun to play and mimic traditional classroom activities such as Collocation Matching, Collocation Guessing, Collocation Dominoes, and Related Words. The apps can be downloaded onto Android devices from the Google Play store, and exercises are automatically updated whenever new materials are added by teachers through a web-based interface on the FLAX server. Teachers have used these games to provide supplementary material for several Massive Open Online courses (MOOC) in Law discipline.

    View record details
  • Scaling the mountain to principalship Barriers and enablers in a female first time principal’s journey to leadership

    Mortimer, Samantha; Edwards, Frances (2017)

    Conference item
    University of Waikato

    The purpose of this presentation is to describe the journey of Janet who was appointed as a first time principal in her 50s. The study is relevant to the field of educational leadership as although girls outpace boys at schools and universities and are currently entering the work force at higher salaries than ever before, there have been minimal changes in the proportion of females in top executive positions in the last decade. For example, in 2012, around 60% of the total number of high school teachers in New Zealand were women but they held less than 33% of all principal positions. This being the case it is useful to reflect on the stories of women who have achieved school principal positions, in order to discover what helped and hindered them on their journey. In 2015, Janet shared her story about her journey to principalship using a guided interview framework characterised by the creation of themes with open ended questions. Her unique lived experience and the significance of her everyday life to becoming a first time principal was documented and explored by drawing out patterns through coding the transcript and identifying themes through a process of careful reading and reviewing. Janet described her journey, identifying the enablers and barriers along the way and the identity work that enabled her to gain her first position as a school principal. Janet acknowledged the impact of gender, being a wife, and being a mother to a school aged child, and the gender-specific expectations others have of principals, as barriers. She also identified enablers, the people and the processes that helped her to succeed in her career including, her strong belief in social justice which arose from her parents, her support systems including the mentors who guided her throughout her career path to the present day, and the professional development opportunities she was able to enjoy. She talked about a gestalt shift her identity and its collision with circumstances which gave her the confidence to apply for her current job as a school principal. Janet showed she was capable of making workable, manageable and balanced judgments in relation to her work and life including finding people and activities that could support her. Building on the work of Mamood (2015) a visual metaphor that encapsulates Janet’s journey is proposed. This provides a rich view of a woman’s road to principalship and demonstrates the complexity of Janet’s educational leadership journey.

    View record details
  • The effect of the "lens of the teacher" on teacher summative assessment literacy and practice

    Edwards, Frances (2017)

    Conference item
    University of Waikato

    Teachers’ summative assessment literacy is vital in the current educational environment in New Zealand, given the importance of teachers’ summative judgements in all levels of compulsory education. Through initial teacher education programmes, and inservice professional development and learning, beginner teachers are able to develop assessment knowledge and skills. However, their practice may not reflect what they have learnt. This paper reports on a qualitative study which aimed to explore the characteristics of summative assessment literacy for secondary beginner teachers, and the contributors to this development. Teachers were interviewed five times over an 18 month period through their initial teacher education programme, and in their first year of employment. The transcripts were analysed by using the model for science teachers’ assessment literacy proposed by Abell and Siegel (2011) as an initial framework. This deductive coding was followed by and merged with subsequent deductive coding as new codes emerged progressively during data analysis. Summative assessment literacy was found to be an amalgam of knowledges and skills that informed the teachers’ assessment decision making. However, teachers’ assessment decisions were not found to necessarily reflect their knowledge. Teacher commentary indicated that personal and contextual factors acted as amplifiers and/or filters as knowledge became personalised and as the teacher decided how to use it. Personal factors included teacher prior knowledge, experience and beliefs about assessment, teaching, learning, and science; beliefs about ethical matters and, emotional responses to assessment. Contextual factors included beginner teachers’ interactions and experiences with influential others, as well as wider influences such as school policy and practice, and national policy. These factors were found to mediate the translation of teacher professional knowledge to classroom practice, affecting assessment decisions, and sometimes leading to surprising outcomes. This study provides an alternative view from which to consider teacher development for those working within the partnerships of teacher education and schools. By understanding the effect of teachers’ amplifiers and filters, those working with beginner teachers may be able to make the ‘lens of the teacher’ more explicit with regard to assessment. This in turn may facilitate summative assessment literacy development and assessment decisions that are more likely to be in accord with the principles of good assessment.

    View record details