title: The high price of hydro power

authors: Bardsley, W. Earl

abstract: Hydro power provides most of New Zealand’s electricity supply, but seeking the most economic MW was often at the expense of a high marginal cost.

text: The high price of hydro power Hydro power provides most of New Zealand’s electricity supply, but seeking the most economic MW was often at the expense of a high marginal cost.

year: 2011

title: Correlation-based feature selection of discrete and numeric class machine learning

authors: Hall, Mark A.

subjects: computer science

abstract: Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate features according to heuristics based on general characteristics of the data. For application to large databases, filters have proven to be more practical than wrappers because they are much faster. However, most existing filter algorithms only work with discrete classification problems. This paper describes a fast, correlation-based filter algorithm that can be applied to continuous and discrete problems. The algorithm often out-performs the well-known ReliefF attribute estimator when used as a preprocessing step for naive Bayes, instance-based learning, decision trees, locally weighted regression, and model trees. It performs more feature selection than ReliefF does-reducing the data dimensionality by fifty percent in most cases. Also, decision and model trees built from the preprocessed data are often significantly smaller.

text: Correlation-based feature selection of discrete and numeric class machine learning Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate features according to heuristics based on general characteristics of the data. For application to large databases, filters have proven to be more practical than wrappers because they are much faster. However, most existing filter algorithms only work with discrete classification problems. This paper describes a fast, correlation-based filter algorithm that can be applied to continuous and discrete problems. The algorithm often out-performs the well-known ReliefF attribute estimator when used as a preprocessing step for naive Bayes, instance-based learning, decision trees, locally weighted regression, and model trees. It performs more feature selection than ReliefF does-reducing the data dimensionality by fifty percent in most cases. Also, decision and model trees built from the preprocessed data are often significantly smaller.

year: 2000-05

title: Kai whakakitenga-nui te whakatōhea: Whenua planning for kai security

authors: Maxwell, Te Kahautu

abstract: To exercise Tino Rangatiratanga in our pursuit to define our local food systems through the traditional knowledge and practice of growing kai that will inspire and transform the health and well-being of all Whakatōhea, Whānau, Hapū, Iwi.

text: Kai whakakitenga-nui te whakatōhea: Whenua planning for kai security To exercise Tino Rangatiratanga in our pursuit to define our local food systems through the traditional knowledge and practice of growing kai that will inspire and transform the health and well-being of all Whakatōhea, Whānau, Hapū, Iwi.

year: 2025