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W. Emde. Big flood in the blocks world; or non-cumulative learning. In ECAI-86, pages 569-- 575, 1986.

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Learning from Imperfect Data - Pavel Brazdil (1990)   (1 citation)  (Correct)

....the model to account for as many exceptions as possible. This threshold is typically a certain number of failures (e.g. 2) and has the effect requiring a certain weight of evidence before change can be justified. Examples of systems using this approach are Unimem [24] Alfred [25] and by Emde [26]. 4.2 Techniques for Dealing with Systematic Errors The task of dealing with systematic errors is related to that of dealing with random errors, in that it concerns the problem of finding an adequate model of observations. However, 2 This system is an example of a modified search algorithm as ....

W. Emde. Big flood in the blocks world; or non-cumulative learning. In ECAI-86, pages 569-- 575, 1986.


A Comparison of Rule and Exemplar-Based Learning Systems - Clark (1980)   (1 citation)  (Correct)

.... can be argued it gives the rule base the undesirable property of brittleness [14] on the other hand it enables the occasional major re organisation of knowledge to occur allowing the system to escape from some local but not global optimum of organisation, enabling it to make paradigm shifts [10] as well as small refinements to knowledge. 5.3 Summary In order to meet the computational requirement of limited memory usage and the ability to learn incrementally, both representational schemes have converged to a degree on the mechanisms involved. Exemplar schemes typically abandon a full ....

W. Emde. Big flood in the blocks world; or non-cumulative learning. In ECAI-86, pages 569--575, 1986.

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