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(The University of Waikato, 2009)A keyboard is a simple input device. Its function is to send keystroke information to the computer (or other device) to which it is attached. Normally this information is employed solely to produce text, but it can also ... -
(The University of Waikato, 2007)Modern information technology allows information to be collected at a far greater rate than ever before. So fast, in fact, that the main problem is making sense of it all. Machine learning offers promise of a solution, but ... -
(The University of Waikato, 2009)Topic indexing is the task of identifying the main topics covered by a document. These are useful for many purposes: as subject headings in libraries, as keywords in academic publications and as tags on the web. Knowing a ... -
(The University of Waikato, 2009)Data Mining can be seen as an extension to statistics. It comprises the preparation of data and the process of gathering new knowledge from it. The extraction of new knowledge is supported by various machine learning ... -
(The University of Waikato, 2003)Multiple instance (MI) learning is a relatively new topic in machine learning. It is concerned with supervised learning but differs from normal supervised learning in two points: (1) it has multiple instances in an example ... -
(The University of Waikato, 2007)Prediction intervals for class probabilities are of interest in machine learning because they can quantify the uncertainty about the class probability estimate for a test instance. The idea is that all likely class probability ... -
(The University of Waikato, 2006)Motivated by various challenging real-world applications, such as drug activity prediction and image retrieval, multi-instance (MI) learning has attracted considerable interest in recent years. Compared with standard ... -
(The University of Waikato, 2007)The classification learning task requires selection of a subset of features to represent patterns to be classified. This is because the performance of the classifier and the cost of classification are sensitive to the ... -
(The University of Waikato, 2008)Multi-instance (MI) learning is a variant of supervised machine learning, where each learning example contains a bag of instances instead of just a single feature vector. MI learning has applications in areas such as drug ... -
(The University of Waikato, 2009)The ability to handle and analyse massive amounts of data has been progressively improved during the last decade with the growth of computing power and the opening up of the Internet era. Nowadays, machine learning algorithms ...