title: Case study on bagging stable classifiers for data streams

authors: van Rijn, Jan N.

subjects: Machine learning

abstract: Ensembles of classifiers are among the strongest classi-fiers in most data mining applications. Bagging ensembles exploit the instability of base-classifiers by training them on different bootstrap replicates. It has been shown that Bagging instable classifiers, such as decision trees, yield generally good results, whereas bagging stable classifiers, such as k-NN, makes little difference. However, recent work suggests that this cognition applies to the classical batch data mining setting rather than the data stream setting. We present an empirical study that supports this observation.

text: Case study on bagging stable classifiers for data streams Ensembles of classifiers are among the strongest classi-fiers in most data mining applications. Bagging ensembles exploit the instability of base-classifiers by training them on different bootstrap replicates. It has been shown that Bagging instable classifiers, such as decision trees, yield generally good results, whereas bagging stable classifiers, such as k-NN, makes little difference. However, recent work suggests that this cognition applies to the classical batch data mining setting rather than the data stream setting. We present an empirical study that supports this observation.

year: 2015

title: Denitrification by rhizobia: A possible factor contributing to nitrogen losses from soils

authors: Daniel, Roy M.

subjects: biology

abstract: The intensive pastoral farming system on which New Zealand animal production is based is almost completely dependent upon the rhizobium-legurne symbiosis for the fixed nitrogen required for pasture production. The average annual fixation has been measured as 184 kg nitrogen/ha in developed lowland pastures Hoglund et cii., 1979 and about 13 kg nitrogen/ha in poorly developed bill country pastures (Grant and Lambert, 1979). From these figures it can be estimated that rhizobia in New Zealand pastures fix in excess of one million tonnes of nitrogen an nually. The current annual application of fertilizer nitrogen to pastures is about 12 500 tonnes (O'Connor, 1979).

text: Denitrification by rhizobia: A possible factor contributing to nitrogen losses from soils The intensive pastoral farming system on which New Zealand animal production is based is almost completely dependent upon the rhizobium-legurne symbiosis for the fixed nitrogen required for pasture production. The average annual fixation has been measured as 184 kg nitrogen/ha in developed lowland pastures Hoglund et cii., 1979 and about 13 kg nitrogen/ha in poorly developed bill country pastures (Grant and Lambert, 1979). From these figures it can be estimated that rhizobia in New Zealand pastures fix in excess of one million tonnes of nitrogen an nually. The current annual application of fertilizer nitrogen to pastures is about 12 500 tonnes (O'Connor, 1979).

year: 1980

title: Maumahara Papahou: A mobile augmented reality memory treasure box based on Māori mnemonic aids

authors: Taia, Ivy

subjects: computer science

abstract: He aha te mea nui o te ao? He tangata, he tangata, he tangata.
What is the most important thing in the world? It is people, it is people, it is people.
Traumatic brain injury (TBI) is a worldwide “silent epidemic” causing a variety of memory issues for those affected. Although several software approaches aim to aid memory recollection, they are inadequate for many TBI survivors and none address aspects of cultural awareness in New Zealand. We explored design concepts of traditional Mäori cultural artefacts and techniques and how they helped Mäori people recall past information. This paper describes our research and development of Maumahara Papahou, a mobile app that uses augmented reality features to create a digital memory treasure box based on the concepts of Mäori mnemonic aids.

text: Maumahara Papahou: A mobile augmented reality memory treasure box based on Māori mnemonic aids He aha te mea nui o te ao? He tangata, he tangata, he tangata.
What is the most important thing in the world? It is people, it is people, it is people.
Traumatic brain injury (TBI) is a worldwide “silent epidemic” causing a variety of memory issues for those affected. Although several software approaches aim to aid memory recollection, they are inadequate for many TBI survivors and none address aspects of cultural awareness in New Zealand. We explored design concepts of traditional Mäori cultural artefacts and techniques and how they helped Mäori people recall past information. This paper describes our research and development of Maumahara Papahou, a mobile app that uses augmented reality features to create a digital memory treasure box based on the concepts of Mäori mnemonic aids.

year: 2019