冷漠 发表于 2025-3-27 00:07:24
http://reply.papertrans.cn/59/5830/582904/582904_31.pngrheumatism 发表于 2025-3-27 03:09:28
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http://reply.papertrans.cn/59/5830/582904/582904_35.pngBravura 发表于 2025-3-27 21:34:09
The role of default representations in incremental learning,g an operator which is provably minimal even in the case of iterated sequences of specializations. The operator also benefits from the advantages of lazy evaluation and deferred choice. Second, it provides a semantic basis for inducing default theories and presents an incremental learning algorithmApraxia 发表于 2025-3-27 22:59:44
Learning stable concepts in a changing world,formance. Existing machine learning approaches to this problem use an incremental learning, on-line paradigm. Batch, off-line learners tend to be ineffective in domains with hidden changes in context as they assume that the training set is homogeneous..We present an off-line method for identifying hdowagers-hump 发表于 2025-3-28 05:02:07
http://reply.papertrans.cn/59/5830/582904/582904_38.pngExtort 发表于 2025-3-28 10:01:15
Induction of constraint logic programs, Programming (LP) language. The application of ILP to problems involving numerical information has shown the need for basic numerical background knowledge (e.g. relation “less than”). Our thesis is that one should rather choose Constraint Logic Programming (CLP) as the representation language of hyp拾落穗 发表于 2025-3-28 13:44:07
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