2750 search results - page 233 / 550 » The complexity of learning SUBSEQ(A) |
174
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ISNN
2007
Springer
16 years 26 days ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
182
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GECCO
2005
Springer
16 years 7 days ago
2005
Springer
XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result ...
180
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ICCBR
2005
Springer
2005
Springer
Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation
16 years 7 days ago
Non-learning problem solvers have been applied to many interesting and complex domains. Experience-based learning techniques have been developed to augment the capabilities of cert...
172
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ILP
2000
Springer
15 years 10 months ago
2000
Springer
Induction of recursive theories in the normal ILP setting is a complex task because of the non-monotonicity of the consistency property. In this paper we propose computational solu...
152
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AAAI
2008
15 years 9 months ago
2008
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...