title: Subset selection using rough numeric dependency

authors: Smith, Tony C.

subjects: computer science

abstract: In this paper we describe a novel method for performing feature subset selection for supervised learning tasks based on a refined notion of feature relevance. We define relevance as others see it and outline our refinement of this concept. We then describe how we use this new definition in an algorithm to perform subset selection, and finally, we show some preliminary results of using this approach with two quite different supervised learning schemes.

text: Subset selection using rough numeric dependency In this paper we describe a novel method for performing feature subset selection for supervised learning tasks based on a refined notion of feature relevance. We define relevance as others see it and outline our refinement of this concept. We then describe how we use this new definition in an algorithm to perform subset selection, and finally, we show some preliminary results of using this approach with two quite different supervised learning schemes.

year: 1995-04

title: Selection of dispatching rules in simulation-based scheduling of flexible manufacturing

authors: Basnet, Chuda

subjects: flexible manufacturing systems

abstract: Discrete-event simulation has been proposed as a tool for the real-time selection of dispatching rules in the scheduling of flexible manufacturing systems (FMS). In this approach, a look-ahead simulation is used to predict the trajectory of the system under different dispatching rules. Then a rule is selected for use in the FMS, based on the performance criterion associated with each trajectory. However, this raises the issue of the criterion to be used for the selection of the rules. A simulation model of an FMS was used to test the effect of rule selection procedure on two performance measures. This simulator was run using four scheduling policies and the performance of the FMS was measured. The main finding of this research is that the use of global criteria gives better results than the use of local criteria.

text: Selection of dispatching rules in simulation-based scheduling of flexible manufacturing Discrete-event simulation has been proposed as a tool for the real-time selection of dispatching rules in the scheduling of flexible manufacturing systems (FMS). In this approach, a look-ahead simulation is used to predict the trajectory of the system under different dispatching rules. Then a rule is selected for use in the FMS, based on the performance criterion associated with each trajectory. However, this raises the issue of the criterion to be used for the selection of the rules. A simulation model of an FMS was used to test the effect of rule selection procedure on two performance measures. This simulator was run using four scheduling policies and the performance of the FMS was measured. The main finding of this research is that the use of global criteria gives better results than the use of local criteria.

year: 2011

title: Māori, census 2018 and data sovereignty

authors: Kukutai, Tahu

abstract: This webinar explores the issues with the 2018 Census data collection and examines what the implications could be for communities and funding.  See below to read some relevant articles prior to the webinar.

Our presenters also discuss iwi data sovereignty and data bias and the reasons why we should all pay more attention to the quality of the data we provide, use and collect.

text: Māori, census 2018 and data sovereignty This webinar explores the issues with the 2018 Census data collection and examines what the implications could be for communities and funding.  See below to read some relevant articles prior to the webinar.

Our presenters also discuss iwi data sovereignty and data bias and the reasons why we should all pay more attention to the quality of the data we provide, use and collect.

year: 2019