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searching for Instance-based learning 7 found (17 total)

Cleotilde Gonzalez (413 words) [view diff] case mismatch in snippet view article find links to article

theory of decision from experience in dynamic environments, called Instance-Based Learning Theory (IBLT). IBLT has been used as the basis to develop multiple

Dynamic decision-making (3,623 words) [view diff] case mismatch in snippet view article find links to article

Broadbent's Sugar Production Factory task[clarification needed]. The Instance-Based Learning Theory (IBLT) is a theory of how humans make decisions in dynamic

Lazy learning (1,102 words) [view diff] exact match in snippet view article find links to article

be recomputed. K-nearest neighbors, which is a special case of instance-based learning. Local regression. Lazy naive Bayes rules, which are extensively

Instance selection (873 words) [view diff] exact match in snippet view article find links to article

2015. D. R. Wilson and T. R. Martinez, Reduction techniques for instance-based learning algorithms, Machine learning, vol. 38, no. 3, pp. 257–286, 2000

Beta skeleton (1,887 words) [view diff] exact match in snippet view article find links to article

"Geometric proximity graphs for improving nearest neighbor methods in instance-based learning and data mining", International Journal of Computational Geometry

K-nearest neighbors algorithm (4,333 words) [view diff] exact match in snippet view article find links to article

"Geometric proximity graphs for improving nearest neighbor methods in instance-based learning and data mining". International Journal of Computational Geometry

Granular computing (5,242 words) [view diff] exact match in snippet view article find links to article

Ming (1994), Discretization of continuous-valued attributes and instance-based learning (Technical Report No.491), Sydney: Basser Department of Computer