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Titlebook: Research and Development in Intelligent Systems XXII; Proceedingas of AI-2 Max Bramer,Frans Coenen,Tony Allen Conference proceedings 2006 S

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31#
發(fā)表于 2025-3-26 22:45:16 | 只看該作者
32#
發(fā)表于 2025-3-27 04:36:51 | 只看該作者
A biologically motivated neural network architecture for the avoidance of catastrophic interferencerference. This is the tendency of certain types of feed forward network to forget what they have learned when required to learn a second pattern set which overlaps significantly in content with the first. This work considers a neural network architecture which performs a pattern separated representa
33#
發(fā)表于 2025-3-27 07:19:10 | 只看該作者
34#
發(fā)表于 2025-3-27 12:24:37 | 只看該作者
, practical and application of Artificial Intelligence, held in Cambridge in December 2005....The papers in this volume present new and innovative developments in the field, divided into sections on Machine Learning, Knowledge Representation and Reasoning, Knowledge Acquisition, Constraint Satisfact
35#
發(fā)表于 2025-3-27 13:49:09 | 只看該作者
36#
發(fā)表于 2025-3-27 18:57:11 | 只看該作者
Conference proceedings 2006or those who wish to keep up to date with developments in this important field....The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems XIII..
37#
發(fā)表于 2025-3-27 23:21:41 | 只看該作者
38#
發(fā)表于 2025-3-28 03:21:51 | 只看該作者
Reusing JessTab Rules in Protégéor all the classes and slots in the abstract rules, the new rule set can then be run against the new knowledge base. We have satisfactorily tested our tool with several ontologies and associated rule sets; moreover, some of these tests have identified possible future improvements to the tool.
39#
發(fā)表于 2025-3-28 08:22:23 | 只看該作者
Tracking Drifting Concepts by Time Window Optimisationused with any learning algorithm. The method is tested with three standard learning algorithms (kNN, ID3 and NBC). Three datasets have been used in these experiments. The experimental results provide evidence that the suggested forgetting mechanism is able significantly to improve predictive accuracy on changing concepts.
40#
發(fā)表于 2025-3-28 12:09:50 | 只看該作者
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