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Browsing by Author "Holmes, Geoffrey"
Now showing items 1-5 of 68
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(Springer, 2009)Chromatography is an important analytical technique that has widespread use in environmental applications. A typical application is the monitoring of water samples to determine if they contain petroleum. These tests are ... -
(2004)The data stream model for data mining places harsh restrictions on a learning algorithm. First, a model must be induced incrementally. Second, processing time for instances must keep up with their speed of arrival. Third, ... -
(Springer, 2012)Many real world problems involve the challenging context of data streams, where classifiers must be incremental: able to learn from a theoretically- infinite stream of examples using limited time and memory, while being ...
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(University of Waikato, Department of Computer Science, 2000)Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ... -
(University of Waikato, Department of Computer Science, 2002)Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable ...
Now showing items 1-5 of 68
Co-authors for Geoffrey Holmes
Supervised by Geoffrey Holmes
Showing up to 5 theses - most recently added to Research Commons first.
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(University of Waikato, 2012)Most machine learning algorithms require us to set up their parameter values before applying these algorithms to solve problems. Appropriate parameter settings will bring good performance while inappropriate parameter ... -
Sequence-based protein classification: binary Profile Hidden Markov Models and propositionalisation (University of Waikato, 2011)Detecting similarity in biological sequences is a key element to understanding the mechanisms of life. Researchers infer potential structural, functional or evolutionary relationships from similarity. However, the concept ... -
(University of Waikato, 2010)Multi-label classification is relevant to many domains, such as text, image and other media, and bioinformatics. Researchers have already noticed that in multi-label data, correlations exist between labels, and a variety ...