FELON
发表于 2025-3-25 05:00:38
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lanugo
发表于 2025-3-25 08:53:36
Learning from Data with Bounded Inconsistency,a are said to be . with respect to the concept description language. In such cases no learner will be able to find a description classifying all instances correctly. In general, learning systems must generate reasonable results even when there is no concept definition consistent with all the data.
institute
发表于 2025-3-25 15:40:13
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治愈
发表于 2025-3-25 18:31:44
Incremental Batch Learning,re generally, however, the information processed by incremental version-space merging need not correspond directly training data; as long as a piece of information can be converted into a version space of viable concept definitions it can be used by incremental version-space merging.
Decline
发表于 2025-3-25 22:43:11
Computational Complexity,n-space formation, and version-space intersection. The computational complexity of each of these is first discussed, followed by an analysis of the complexity of the overall incremental version-space merging method.
不发音
发表于 2025-3-26 02:27:42
Theoretical Underpinnings,under which an arbitrary set of concept definitions from a concept description language can be represented by boundary sets. This forms the new definition of version spaces. The chapter continues with an analysis of the conditions under which the intersection of two version spaces is a version space
Spinal-Fusion
发表于 2025-3-26 07:40:29
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发怨言
发表于 2025-3-26 10:40:44
Book 1990ind all maxi mally consistent hypotheses, even in the presence of certain types of incon sistencies in the data. More generally, it provides a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypothes
牛马之尿
发表于 2025-3-26 14:09:53
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上涨
发表于 2025-3-26 19:43:15
0893-3405 es a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypothes978-1-4612-8834-3978-1-4613-1557-5Series ISSN 0893-3405