Searching for authors named "Geoffrey Holmes" – sorted by Relevance.
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Propositionalization through Stochastic Discrimination
- Propositionalization through Stochastic Discrimination Bernhard Pfahringer and Geoffrey Holmes
- Cited by 3 (1 self) – Add To MetaCart
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A Diagnostic Tool for Tree Based Supervised Classification Learning Algorithms Abstract
- A Diagnostic Tool for Tree Based Supervised Classification Learning Algorithms Abstract Geoffrey
- Cited by 1 (0 self) – Add To MetaCart
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Wrapping Boosters against Noise
- Wrappers have recently been used to obtain parameter optimizations for learning algorithms. In this paper we investigate the use of a wrapper for estimating the correct number of boosting ensembles in the presence of class noise. Contrary to the naive approach that would be quadratic in the numb
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Optimizing the Induction of Alternating Decision Trees
- The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distributed across the nodes and multiple paths are traversed to form predictions. The complexity of the algorithm is quadratic in
- Cited by 3 (0 self) – Add To MetaCart
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Mining data streams using option trees
- Mining Data Streams Using Option Trees Geoffrey Holmes, Richard Kirkby, and Bernhard Pfahringer
- Cited by 1 (1 self) – Add To MetaCart
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Racing Committees for Large Datasets
- This paper proposes a method for generating classifiers from large datasets by building a committee of simple base classifiers using a standard boosting algorithm. It permits the processing of large datasets even if the underlying base learning algorithm cannot efficiently do so.
- Cited by 5 (3 self) – Add To MetaCart
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Benchmarking attribute selection techniques for discrete class data mining
- Benchmarking Attribute Selection Techniques for Data Mining Mark A. Hall Geoffrey Holmes
- Cited by 31 (1 self) – Add To MetaCart
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Generating Rule Sets from Model Trees
- Generating Rule Sets from Model Trees Geoffrey Holmes, Mark Hall and Eibe Frank Department
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Analysing chromatographic data using data mining to monitor petroleum content in water
- Analysing chromatographic data using data mining to monitor petroleum content in water Geoffrey
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Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
- Mutter, Bernhard Pfahringer, Geoffrey Holmes Department of Computer Science The University of Waikato
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