title: WEKA−Experiences with a Java open-source project

authors: Bouckaert, Remco R.

subjects: machine learning software

abstract: WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software's functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project.

text: WEKA−Experiences with a Java open-source project WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software's functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project.

year: 2010

title: New Options for Hoeffding Trees

authors: Pfahringer, Bernhard

subjects: computer science

abstract: Hoeffding trees are state-of-the-art for processing high-speed data streams. Their ingenuity stems from updating sufficient statistics, only addressing growth when decisions can be made that are guaranteed to be almost identical to those that would be made by conventional batch learning methods. Despite this guarantee, decisions are still subject to limited lookahead and stability issues. In this paper we explore Hoeffding Option Trees, a regular Hoeffding tree containing additional option nodes that allow several tests to be applied, leading to multiple Hoeffding trees as separate paths. We show how to control tree growth in order to generate a mixture of paths, and empirically determine a reasonable number of paths. We then empirically evaluate a spectrum of Hoeffding tree variations: single trees, option trees and bagged trees. Finally, we investigate pruning. We show that on some datasets a pruned option tree can be smaller and more accurate than a single tree.

text: New Options for Hoeffding Trees Hoeffding trees are state-of-the-art for processing high-speed data streams. Their ingenuity stems from updating sufficient statistics, only addressing growth when decisions can be made that are guaranteed to be almost identical to those that would be made by conventional batch learning methods. Despite this guarantee, decisions are still subject to limited lookahead and stability issues. In this paper we explore Hoeffding Option Trees, a regular Hoeffding tree containing additional option nodes that allow several tests to be applied, leading to multiple Hoeffding trees as separate paths. We show how to control tree growth in order to generate a mixture of paths, and empirically determine a reasonable number of paths. We then empirically evaluate a spectrum of Hoeffding tree variations: single trees, option trees and bagged trees. Finally, we investigate pruning. We show that on some datasets a pruned option tree can be smaller and more accurate than a single tree.

year: 2007

title: Whiti te rā: A guide to connecting Māori to traditional wellbeing pathways.

authors: McLachlan, Andre David

abstract: Māori health models, introduced in the 1980s, brought needed cultural worldviews to an otherwise monocultural health system. However, minimal changes have occurred. In mainstream practice, deeper cultural understandings and action-orientations of these models can be overlooked, to the detriment of Māori wellbeing.
In particular, Māori cultural concepts such as mauri ora (an active state of wellbeing) and a secure cultural identity are notable core wellbeing pathways that need further exploration. Using a systematic narrative literature review, 36 papers identified pathways that used core cultural activities for Māori wellbeing. A thematic analysis produced six themes or pathways towards wellbeing for Māori – te reo Māori: Māori language, taiao: connection with the environment, wairua: Māori spiritual beliefs and practices, mahi-a-toi:
Māori expressive art forms, take pū whānau: Māori relational values, and whakapapa: intergenerational relationships. Forty experienced Māori psychologists analysed the themes and offered expert examples practice pathways for Māori wellbeing. The six themes and feedback is presented in a visual image Whiti Te Rā with instructions for Māori practitioners to guide whai ora Māori (Māori clients) to explore their level of knowledge and comfort, and active engagement with Māori pathways to wellbeing. The model has potential for mental health policy, future research, curriculum development, and synthesising Māori knowledge towards wellbeing pathways.

text: Whiti te rā: A guide to connecting Māori to traditional wellbeing pathways. Māori health models, introduced in the 1980s, brought needed cultural worldviews to an otherwise monocultural health system. However, minimal changes have occurred. In mainstream practice, deeper cultural understandings and action-orientations of these models can be overlooked, to the detriment of Māori wellbeing.
In particular, Māori cultural concepts such as mauri ora (an active state of wellbeing) and a secure cultural identity are notable core wellbeing pathways that need further exploration. Using a systematic narrative literature review, 36 papers identified pathways that used core cultural activities for Māori wellbeing. A thematic analysis produced six themes or pathways towards wellbeing for Māori – te reo Māori: Māori language, taiao: connection with the environment, wairua: Māori spiritual beliefs and practices, mahi-a-toi:
Māori expressive art forms, take pū whānau: Māori relational values, and whakapapa: intergenerational relationships. Forty experienced Māori psychologists analysed the themes and offered expert examples practice pathways for Māori wellbeing. The six themes and feedback is presented in a visual image Whiti Te Rā with instructions for Māori practitioners to guide whai ora Māori (Māori clients) to explore their level of knowledge and comfort, and active engagement with Māori pathways to wellbeing. The model has potential for mental health policy, future research, curriculum development, and synthesising Māori knowledge towards wellbeing pathways.

year: 2021