缩减了 发表于 2025-3-26 23:49:36

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线 发表于 2025-3-27 01:39:26

Co-evolutionary Data Mining to Discover Rules for Fuzzy Resource Managements being explored that involves embedding the resource manager in an electronic game environment. The game allows a human expert to play against the resource manager in a simulated battlespace with each of the defending platforms being exclusively directed by the fuzzy resource manager and the attack

游行 发表于 2025-3-27 07:45:16

Discovering Temporal Rules from Temporally Ordered Dataaracterize the behavior of a single system. Data are gathered from variables of the system, and used to discover relations among the variables. In general, such rules could be causal or acausal. We formally characterize the problem and introduce RFCT, a hybrid tool based on the C4.5 classification s

THE 发表于 2025-3-27 09:40:11

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UTTER 发表于 2025-3-27 16:06:08

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到婚嫁年龄 发表于 2025-3-27 21:33:11

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Magnitude 发表于 2025-3-28 00:41:48

T3: A Classification Algorithm for Data Miningthe tree reasonably small. T3 is an improvement over T2 in that it builds larger trees and adopts a less greedy approach. T3 gave better results than both T2 and C4.5 when run against publicly available data sets: T3 decreased classification error on average by 47% and generalisation error by 29%, c

爆炸 发表于 2025-3-28 04:07:28

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移植 发表于 2025-3-28 08:04:29

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ALOFT 发表于 2025-3-28 11:45:54

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查看完整版本: Titlebook: Intelligent Data Engineering and Automated Learning - IDEAL 2002; Third International Hujun Yin,Nigel Allinson,Simon Hubbard Conference pr