An objective function based on Bayesian likelihoods of necessity and sufficiency for concept learning in the absence of labeled counter-examples

Supervised machine learning techniques generally require that the training set on which learning is based contain sufficient examples representative of the target concept, as well as known counter-examples of the concept; however, in many application domains it is not possible to supply a set of labeled counter-examples. This paper proposes an objective function based on Bayesian likelihoods of necessity and sufficiency. This function can be used to guide search towards the discovery of a concept description given only a set of labeled positive examples of the target concept, and as a corpus of unlabeled examples. Results of experiments performed on several datasets from the VCI repository show that the technique achieves comparable accuracy to conventional supervised learning techniques, despite the fact that the latter require a set of labeled counter-examples to be supplied. The technique can be applied in many domains in which the provision of labeled counter-examples is problematic.

Social indicators and social development

This paper concerns the use of social indicators to improve social development and the happiness of populations. A distinction will be drawn between the traditional indicators of wealth and health and the new subjective social indicators. These latter measures concern the subjective side of life quality, or happiness, which in contemporary science is more commonly referred to as subjective wellbeing (SWB). The SWB construct is described within the theoretical context of SWB homeostasis. This is a proposed management system which has the role of maintaining a positive view of the self. It will be described how the homeostatic system can be challenged by hardship and defended by a variety of resources. Recommended forms of SWB measurement will be considered. It is concluded that both objective and subjective social indicators should be consulted by policy makers in order to plan the most effective initiatives to enhance population wellbeing.

The measurement of socio-economic status: investigation of gender-and age-specific indicators in Australia: national health survey 1995

Objective: To investigate thecorrelations between age- and gender-specificmeasures of socio-economic status versus healthstatus as measured by the SF-36.

Design: Population based study.

Participants: 38187 people aged between18 to 79 years who participated in the NationalHealth Survey in 1995.

Results: Factor analysis producedconsistent results that were interpreted interms of five conceptually meaningful domains(employment, housing, migration, family unitand education). The relative rank of thefactors differs between groups and in somecases factor composition requires items to beadded or deleted from the conceptual domains.

Conclusions: Age- and gender-specific SESscores based on these factors had strongerassociations with the physical and mentalcomponents of SF-36 than either an area basedindex or scores derived from males aged 40–44years. Overall the results supported thehypothesis that SES measures composed of socialand demographic items exhibit important age-and gender-specific differences which arerelevant for health.

The link between self-managed work teams and learning organisations using performance indicators

Both the learning organization literature and the self-managed work team literature have alluded to the potential links between teamwork and learning. However, as yet the link between these two concepts remains undeveloped. This study uses a survey of a random sample of 200 Australian organizations to empirically examine the relationships between self-managed work teams and the learning organization using performance indicators as a medium. It was found that the learning organization concept displays a moderate to strong link with three measures of performance used in this study: knowledge performance, financial performance and customer satisfaction. Although the self-managed work team concept did not display any significant relationship with performance, the qualitative component of the survey did emphasize that there is a common belief that self-managed teams can increase performance in the right setting. While an insignificant relationship between self-managed teams and the learning organization was also found, this study suggests some methodological concerns for future research into the relationship between self-managed teams and the learning organization.

Equity indicators: measures of socio-economic status at an Australian university

After reviewing relevant literature on socio-economic status (SES) and the ways in which it is used for higher education institutional research and policy, a detailed data analysis of Victoria University (Australia) student data was undertaken. Between 10,000 and 15,000 domestic student addresses were ‘geocoded’ to Australian Bureau of Statistics (ABS) collection district level. A survey of individual reenrolling 2001 students that included parental occupation and education data was also analysed. The most important findings were: (1) The debate for practical reasons tends to focus on area versus individual measures, but SES is a richer and more complex subject and must be acknowledged as such. (2) It is apparent that VU’s student catchment is on average of lower SES than the Melbourne average, using various area measures of SES, including the DEST-Martin indicators. (3) There is only a very small difference between average area SES measures at the collection district and the postcode level. In practical terms this means that the postcode method is adequate, as well as being cheaper and more efficiently obtained, for analyses at an aggregated (or average) level. (4) Individual surveys of students do not prima facie add to the quality of aggregated institution level SES results delivered by area analyses. This again suggests that the postcode method is best for practical reasons.

Snapshot of Singapore biotechnology boom indicators

The article discusses various reports published within the issue, including one on the biotechnology industry players in Singapore and another on a market audit survey on the Singapore biotechnology sector.

Survey commentaries and analysis on SWOT analysis of Singapore biotechnology boom indicators

The article presents survey commentaries and analysis on Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis of biotechnology boom indicators in Singapore as of April 2006. SWOT is the process whereby the strengths and weaknesses in the internal environment are analyzed in association with the opportunities and threats arising from the external environment. The success of Singapore's biotechnology sector depends on the effectiveness and efficiency of the interface between the external and internal environments. The strengths, weaknesses, opportunities, and threats in the industry are discussed.

Catchment to regional scale indicators of sustainability

Ecologically sustainable development requires an integrated approach to environmental integrity, social equity and economic performance. Development of sustainability strategies and empowerment of communities to achieve sustainability will only be effective if progress is monitored. This project provides an opportunity to work within a regional partnership to develop indicators for measuring progress toward sustainability in the south west region of Victoria, Australia. As sustainability is contextual, local organizations have been involved in the identification of key regional values (social, environmental, economic and institutional) and in selecting indicators that can be used to assess to what extent these values are being protected, depleted or enhanced. These indicators are to be used as the basis for exploring relationships between biophysical and socio-economic indicators, to determine what can be deduced from these relationships about sustainability and whether these relationships hold at different spatial scales (catchment, regional and sub-catchment). A rigorous and systematic analysis of indicators and the relationships between them will assist in developing a tool to facilitate decision making for regional sustainability.

An assessment tool for sub-catchment to catchment scale indicators of sustainability - a case study in south west Victoria, Australia

The research reported in this paper represents an attempt to produce a practical, indicator-based sustainability assessment tool incorporating all these elements is based on relationships between indicators determined considering spatial influences. Through the use of an existing sustainability indicator set and data currently available, relationships will be determined using Arcview Geographic Information Systems (GIS), correlation analysis and Principal Component Analysis (PCA). Indicator interactions will be identified at two spatial scales and compared to determine impacts of changing spatial scale. Further PCA and multiple regression analyses will then be used to reduce the complexity of the indicator set. These findings will be incorporated into a practical indicator-based assessment tool through the adoption of the Analytic Hierarchy Process (AHP) combined with GIS techniques that will then be validated. Once validated the tool can be used to aid in guiding planning and decision-making regarding sustainable development in the Glenelg Hopkins catchment, Victoria; while also moving towards producing a standard set of procedures for assessing sustainability.