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Titlebook: Machine Learning: ECML-94; European Conference Francesco Bergadano,Luc Raedt Conference proceedings 1994 Springer-Verlag Berlin Heidelberg

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41#
發(fā)表于 2025-3-28 16:43:27 | 只看該作者
Industrial applications of ML: Illustrations for the KAML dilemma and the CBR dream,wledge acquisition and machine learning techniques. Case-based reasoning is a possible alternative to the problem of acquiring highly compiled expert knowledge, but it raises also many new problems that must be solved before really efficient implementations are available.
42#
發(fā)表于 2025-3-28 21:27:41 | 只看該作者
Bottom-up induction of oblivious read-once decision graphs,ing these structures from labelled instances. The algorithm is robust with respect to irrelevant attributes, and experimental results show that it performs well on problems considered difficult for symbolic induction methods, such as the Monk‘s problems and parity.
43#
發(fā)表于 2025-3-29 02:08:48 | 只看該作者
44#
發(fā)表于 2025-3-29 03:23:26 | 只看該作者
45#
發(fā)表于 2025-3-29 09:06:39 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620757.jpg
46#
發(fā)表于 2025-3-29 11:27:42 | 只看該作者
Averaging over decision stumps,In this paper, we examine a minimum encoding approach to the inference of decision stumps. We then examine averaging over decision stumps as a method of generating probability estimates at the leaves of decision trees.
47#
發(fā)表于 2025-3-29 18:23:34 | 只看該作者
48#
發(fā)表于 2025-3-29 23:10:54 | 只看該作者
49#
發(fā)表于 2025-3-30 00:28:05 | 只看該作者
https://doi.org/10.1007/3-540-57868-4Algorithmic Learning; Algorithmisches Lernen; Inductive Learning; Inductive Logic Programming; Induktive
50#
發(fā)表于 2025-3-30 06:03:08 | 只看該作者
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