坦白
发表于 2025-3-26 21:18:03
Knowledge Discovery and principles (knowledge) from historical data (and background knowledge), that permit a computer to perform a task . or that . a human perform a task more successfully, efficiently or in a more value-added way.
他日关税重重
发表于 2025-3-27 03:37:07
Fril — a Support Logic Programming Environmentgnment theory, fuzzy set theory, support logic (a form of interval based probabilistic reasoning), and related theories of uncertainty and imprecision from the basis of knowledge representation and reasoning fo the Fril support logic programming environment.
生命层
发表于 2025-3-27 09:13:06
Knowledge Discoveryith varying degrees of success, to increase its usefulness to mankind through the development of systems with high MIQ (Machine Intelligence Quotient) . This desire to increase the computers’ usefulness to mankind has led to the birth of many computer-related disciplines. One such disci
intangibility
发表于 2025-3-27 11:51:04
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断断续续
发表于 2025-3-27 16:07:35
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Fibroid
发表于 2025-3-27 18:29:43
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后退
发表于 2025-3-27 23:54:50
Probability Theoryncertainty management have proposed, but one of the oldest is probability theory. Probability theory focuses on managing uncertainty arising from beliefs or expectations, often reffered to as .. Stochastic uncertainty differs from the incertainty arising from the imprecision or fuzziness that fuzzy
射手座
发表于 2025-3-28 06:01:20
Fril — a Support Logic Programming Environmentrelated; for example, how fuzzy sets are formally related probabilistics representations such as mass assignments and probability distributions. The attention in this chapter shifts to a programming environment that enables soft computing — FRIL (Fuzzy Relational Inference Language) [Baldwin, Martin
钳子
发表于 2025-3-28 08:38:49
Machine Learningtificial intelligence. The field of machine learning (ML), which crosses these disciplines, studies the computational processes that underlie learning in both humans and machines. The field’s main objects of study are the artefacts , specifically algorithms that improve their performan
Anhydrous
发表于 2025-3-28 12:10:25
Cartesian Granule Featurester introduces a new form of knowledge representation centred on Cartesian granule features, with corresponding induction algorithms being presented in the next chapter. This approach to knowledge representation and related induction algorithms, while not being a panacea for knowledge discovery, do