title: Locally weighted naive Bayes

authors: Frank, Eibe

subjects: computer science

abstract: Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by these results, researchers have looked to overcome naive Bayes' primary weakness—attribute independence—and improve the performance of the algorithm. This paper presents a locally weighted version of naive Bayes that relaxes the independence assumption by learning local models at prediction time. Experimental results show that locally weighted naive Bayes rarely degrades accuracy compared to standard naive Bayes and, in many cases, improves accuracy dramatically. The main advantage of this method compared to other techniques for enhancing naive Bayes is its conceptual and computational simplicity.

text: Locally weighted naive Bayes Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by these results, researchers have looked to overcome naive Bayes' primary weakness—attribute independence—and improve the performance of the algorithm. This paper presents a locally weighted version of naive Bayes that relaxes the independence assumption by learning local models at prediction time. Experimental results show that locally weighted naive Bayes rarely degrades accuracy compared to standard naive Bayes and, in many cases, improves accuracy dramatically. The main advantage of this method compared to other techniques for enhancing naive Bayes is its conceptual and computational simplicity.

year: 2003-04

title: Invasion Expansion: Time since introduction best predicts global ranges of marine invaders.

authors: Byers, James E.

abstract: Strategies for managing biological invasions are often based on the premise that characteristics of invading species and the invaded environment are key predictors of the invader's distribution. Yet, for either biological traits or environmental characteristics to explain distribution, adequate time must have elapsed for species to spread to all potential habitats. We compiled and analyzed a database of natural history and ecological traits of 138 coastal marine invertebrate species, the environmental conditions at sites to which they have been introduced, and their date of first introduction. We found that time since introduction explained the largest fraction (20%) of the variability in non-native range size, while traits of the species and environmental variables had significant, but minimal, influence on non-native range size. The positive relationship between time since introduction and range size indicates that non-native marine invertebrate species are not at equilibrium and are still spreading, posing a major challenge for management of coastal ecosystems.

text: Invasion Expansion: Time since introduction best predicts global ranges of marine invaders. Strategies for managing biological invasions are often based on the premise that characteristics of invading species and the invaded environment are key predictors of the invader's distribution. Yet, for either biological traits or environmental characteristics to explain distribution, adequate time must have elapsed for species to spread to all potential habitats. We compiled and analyzed a database of natural history and ecological traits of 138 coastal marine invertebrate species, the environmental conditions at sites to which they have been introduced, and their date of first introduction. We found that time since introduction explained the largest fraction (20%) of the variability in non-native range size, while traits of the species and environmental variables had significant, but minimal, influence on non-native range size. The positive relationship between time since introduction and range size indicates that non-native marine invertebrate species are not at equilibrium and are still spreading, posing a major challenge for management of coastal ecosystems.

year: 2015

title: Linking land, river and moana: Collaborative research between Te Whakatōhea and Lincoln University within the coastal rohe

authors: Morris, Richard

abstract: In the eastern Bay of Plenty, where the land yields to the Pacific and the Waioeka and Ōtara Rivers meet Te Moana aToi (the Bay of Plenty), a research partnership is flourishing between Te Whakatōhea iwi, Lincoln University Centre of Excellence Designing Future Productive Landscape (DFPL), and Waikato University. This collaboration has grown over several years into a suite of multidisciplinary research projects focused on agricultural systems design, urban planning, and climate resilience. While distinct in their objectives, these research threads are united by a deeper, unavoidable theme: the interconnection between whenua (land), awa (river), and moana (sea). For Te Whakatōhea, these are not separate domains but a continuous space of identity, sustenance, and economy, an ethos that sits well with DFPL.

text: Linking land, river and moana: Collaborative research between Te Whakatōhea and Lincoln University within the coastal rohe In the eastern Bay of Plenty, where the land yields to the Pacific and the Waioeka and Ōtara Rivers meet Te Moana aToi (the Bay of Plenty), a research partnership is flourishing between Te Whakatōhea iwi, Lincoln University Centre of Excellence Designing Future Productive Landscape (DFPL), and Waikato University. This collaboration has grown over several years into a suite of multidisciplinary research projects focused on agricultural systems design, urban planning, and climate resilience. While distinct in their objectives, these research threads are united by a deeper, unavoidable theme: the interconnection between whenua (land), awa (river), and moana (sea). For Te Whakatōhea, these are not separate domains but a continuous space of identity, sustenance, and economy, an ethos that sits well with DFPL.

year: 2025-11