Searching for "Attribute-Based Learning." – sorted by Relevance.
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SIDEC: an attribute-based discovery system with background knowledge
- into the learning process. In this paper an attribute--based learning algorithm, called SIDEC, which can incorporate
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Knowledge Acquisition for Discrete Event Systems Using Machine Learning
- learning problems. In these experiments, the simulation outputs were interpreted by two attribute-based
- Cited by 1 (0 self) – Add To MetaCart
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CLARET: A new Relational Learning Algorithm for Interpretation in Spatial Domains.
- , Curtin University, Perth, Australia Attribute-based learning systems - such as decision trees, Part
- Cited by 4 (4 self) – Add To MetaCart
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Classification Tree Chaining in Data Analysis
- learning problem. In these experiments, the simulation output was interpreted by attribute-based learning
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Integration of Machine Learning and Knowledge Acquisition
- and interpretation of the output of a discrete event simulator by a FOL-based and two attribute-based learning
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Fuzzy Interpretation of Induction Results
- . Generally speaking, all kinds of attribute-based learning algorithms can be adapted to extract knowledge
- Cited by 6 (2 self) – Add To MetaCart
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An Evolutionary Approach to Concept Learning
- learning. The far more common case in contemporary Machine Learning research is propositional or attribute-based
- Cited by 4 (0 self) – Add To MetaCart
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Rule Combination in Inductive Learning
- comparing performance of learning systems. Our experiments used an attribute-based learning system
- Cited by 6 (2 self) – Add To MetaCart
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Learning spatial relationships: some approaches
- to be searched are orders of magnitude larger than those encountered in attribute-based learning. Furthermore
- Cited by 2 (1 self) – Add To MetaCart
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Learn Sesame - a Learning Agent Engine
- will be learned. 4. Encompasses functionality of attribute based learning algorithms: Sequence learning is proper
- Cited by 4 (0 self) – Add To MetaCart

