title: Maximum Common Subgraph based locally weighted regression

authors: Seeland, Madeleine

subjects: Machine learning

abstract: This paper investigates a simple, yet effective method for regression on graphs, in particular for applications in chem-informatics and for quantitative structure-activity relationships (QSARs). The method combines Locally Weighted Learning (LWL) with Maximum Common Subgraph (MCS) based graph distances. More specifically, we investigate a variant of locally weighted regression on graphs (structures) that uses the maximum common subgraph for determining and weighting the neighborhood of a graph and feature vectors for the actual regression model. We show that this combination, LWL-MCS, outperforms other methods that use the local neighborhood of graphs for regression. The performance of this method on graphs suggests it might be useful for other types of structured data as well.

text: Maximum Common Subgraph based locally weighted regression This paper investigates a simple, yet effective method for regression on graphs, in particular for applications in chem-informatics and for quantitative structure-activity relationships (QSARs). The method combines Locally Weighted Learning (LWL) with Maximum Common Subgraph (MCS) based graph distances. More specifically, we investigate a variant of locally weighted regression on graphs (structures) that uses the maximum common subgraph for determining and weighting the neighborhood of a graph and feature vectors for the actual regression model. We show that this combination, LWL-MCS, outperforms other methods that use the local neighborhood of graphs for regression. The performance of this method on graphs suggests it might be useful for other types of structured data as well.

year: 2012

title: Valuing biodiversity enhancement in New Zealand

authors: Yao, Richard

subjects: biodiversity

abstract: The value of biodiversity enhancement in New Zealand was estimated from a survey sample of 457 residents. We determined the willingness of respondents to financially support biodiversity programs on private and public lands, as well as determining which factors influence this willingness-to-pay. Our data indicates that an average respondent was willing-to-pay $42 (2007 NZD) annually in their rates (taxes) to support a government initiated private land biodiversity programme and $82 (2007 NZD) annually to support a biodiversity programme on public lands.

text: Valuing biodiversity enhancement in New Zealand The value of biodiversity enhancement in New Zealand was estimated from a survey sample of 457 residents. We determined the willingness of respondents to financially support biodiversity programs on private and public lands, as well as determining which factors influence this willingness-to-pay. Our data indicates that an average respondent was willing-to-pay $42 (2007 NZD) annually in their rates (taxes) to support a government initiated private land biodiversity programme and $82 (2007 NZD) annually to support a biodiversity programme on public lands.

year: 2008-06

title: Measuring Wellbeing for Public Policy in a Bi-Cultural Nation: Update from Aotearoa New Zealand

authors: Weijers, Dan M.

abstract: A presentation at Measuring Wellbeing in a Multicultural World: An Interdisciplinary Workshop, Conference held at ANU, Canberra, Australia and online

text: Measuring Wellbeing for Public Policy in a Bi-Cultural Nation: Update from Aotearoa New Zealand A presentation at Measuring Wellbeing in a Multicultural World: An Interdisciplinary Workshop, Conference held at ANU, Canberra, Australia and online

year: 2023-08-11