title: Te Rau Matatini: Māori mental health workforce
development

authors: Hirini, Paul

subjects: Maori

abstract: Outlines the development and current projects of Te Rau Matatini, a charitable trust aiming to strengthen the Maori mental health workforce.

text: Te Rau Matatini: Māori mental health workforce
development Outlines the development and current projects of Te Rau Matatini, a charitable trust aiming to strengthen the Maori mental health workforce.

year: 2003

title: Reduplication in Maori

authors: Keegan, Peter J.

subjects: Te reo Māori

abstract: This thesis is a study of reduplication in Māori. The aim of the thesis is to make a thorough study of both the formal and semantic properties of reduplication in Māori. This is done by reviewing the relevant literature on reduplication, and collating reduplication data. Most data are from textual sources. Some data have been provided by native-speaker informants. 
The first chapter looks at previous attempts to describe reduplication in Māori. It begins with some definitions of the term reduplication. This is followed by a review of the attempts made by previous authors to describe reduplication in Māori. Aspects of reduplication not covered by those attempts are noted.
The second chapter looks at reduplication in Māori within a Generative framework. The units of reduplication in Māori are given in prosodic terms. This is followed by an overview of Marantz (1982), and a critique of two very recent attempts to account for reduplication in Māori within Optimality Theory. Aspects of Māori reduplication that poses difficulties for Optimality Theory are noted.
The third chapter describes the semantics of reduplication in Māori. An illustration is given of some of the common meanings of reduplication attested across languages. The various meanings of reduplication in Māori are described. Also, the semantics of reduplication in Māori are compared to the semantics of reduplication in Malayo-Polynesian (Austronesian) languages within the framework suggested by Kiyomi (1995).
The fourth chapter comments on descriptive aspects of reduplication in Māori not covered by the previous three chapters.
The fifth chapter provides statistics on the reduplication data collated in the appendices. Reduplication data are divided according to the number of mora in the stem (or base) of origin. Statistics are given on the occurrence of various patterns of reduplication in Māori.

text: Reduplication in Maori This thesis is a study of reduplication in Māori. The aim of the thesis is to make a thorough study of both the formal and semantic properties of reduplication in Māori. This is done by reviewing the relevant literature on reduplication, and collating reduplication data. Most data are from textual sources. Some data have been provided by native-speaker informants. 
The first chapter looks at previous attempts to describe reduplication in Māori. It begins with some definitions of the term reduplication. This is followed by a review of the attempts made by previous authors to describe reduplication in Māori. Aspects of reduplication not covered by those attempts are noted.
The second chapter looks at reduplication in Māori within a Generative framework. The units of reduplication in Māori are given in prosodic terms. This is followed by an overview of Marantz (1982), and a critique of two very recent attempts to account for reduplication in Māori within Optimality Theory. Aspects of Māori reduplication that poses difficulties for Optimality Theory are noted.
The third chapter describes the semantics of reduplication in Māori. An illustration is given of some of the common meanings of reduplication attested across languages. The various meanings of reduplication in Māori are described. Also, the semantics of reduplication in Māori are compared to the semantics of reduplication in Malayo-Polynesian (Austronesian) languages within the framework suggested by Kiyomi (1995).
The fourth chapter comments on descriptive aspects of reduplication in Māori not covered by the previous three chapters.
The fifth chapter provides statistics on the reduplication data collated in the appendices. Reduplication data are divided according to the number of mora in the stem (or base) of origin. Statistics are given on the occurrence of various patterns of reduplication in Māori.

year: 1996

title: Fast perceptron decision tree learning from evolving data streams

authors: Bifet, Albert

subjects: computer science

abstract: Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffding Trees—Hoeffding Trees with naive Bayes models at the leaf nodes—albeit with increased runtime compared to standard Hoeffding Trees. In this paper, we show that runtime can be reduced by replacing naive Bayes with perceptron classifiers, while maintaining highly competitive accuracy. We also show that accuracy can be increased even further by combining majority vote, naive Bayes, and perceptrons. We evaluate four perceptron-based learning strategies and compare them against appropriate baselines: simple perceptrons, Perceptron Hoeffding Trees, hybrid Naive Bayes Perceptron Trees, and bagged versions thereof. We implement a perceptron that uses the sigmoid activation function instead of the threshold activation function and optimizes the squared error, with one perceptron per class value. We test our methods by performing an evaluation study on synthetic and real-world datasets comprising up to ten million examples.

text: Fast perceptron decision tree learning from evolving data streams Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffding Trees—Hoeffding Trees with naive Bayes models at the leaf nodes—albeit with increased runtime compared to standard Hoeffding Trees. In this paper, we show that runtime can be reduced by replacing naive Bayes with perceptron classifiers, while maintaining highly competitive accuracy. We also show that accuracy can be increased even further by combining majority vote, naive Bayes, and perceptrons. We evaluate four perceptron-based learning strategies and compare them against appropriate baselines: simple perceptrons, Perceptron Hoeffding Trees, hybrid Naive Bayes Perceptron Trees, and bagged versions thereof. We implement a perceptron that uses the sigmoid activation function instead of the threshold activation function and optimizes the squared error, with one perceptron per class value. We test our methods by performing an evaluation study on synthetic and real-world datasets comprising up to ten million examples.

year: 2010