Webb, G. J. (1996) Further evidence against the utility of Occam's razor. Journal of Artificial Intelligence Research, Vol. 4, 397-417 Home/Search Document Not in Database Summary Related Articles Check |
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Phase Transitions and Stochastic Local Search in k-Term.. - Rueckert, Kramer, De.. (2002) (Correct)
....equivalent to DNF formulae, e.g. decision trees or disjunctive sets of rules. 3. Most concept learning algorithms include a bias towards a short representation of the hypotheses. While this might not necessarily increase the predictive accuracy, it is commonly considered as a desirable property [27, 4]. We showed that SLS algorithms can be successfully applied to hard randomly generated problem instances. Problem instances that are sampled from a uniform (or near uniform) distribution, can usually be solved in less than a few seconds by the presented SLS algorithm. The examples in the test ....
Webb, G. J. (1996) Further evidence against the utility of Occam's razor. Journal of Artificial Intelligence Research, Vol. 4, 397-417
Phase Transitions and Stochastic Local Search in k-Term.. - Rueckert, Kramer, De.. (2002) (Correct)
....equivalent to DNF formulae, e.g. decision trees or disjunctive sets of rules. Most concept learning algorithms include a bias towards a short representation of the hypotheses. While this might not necessarily increase the predic tive accuracy, it is commonly considered as a desirable property [27, 4]. We showed that SLS algorithms can be successfully applied to hard randomly generated problem instances. Problem instances that are sampled from a uniform (or near uniform) distribution, can usually be solved in less than a few seconds by the presented SLS algorithm. The examples in the test ....
Webb, G. J. (1996) Further evidence against the utility of Occam's razor. Journal of Artificial Intelligence Research, Vol. 4, 397-417 415
Phase Transitions and Stochastic Local Search in k-Term.. - Rückert, Kramer, De Raedt (Correct)
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Webb, G. J. (1996) Further evidence against the utility of Occam's razor. Journal of Artificial Intelligence Research, Vol. 4, 397-417
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