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Titlebook: Advances in Swarm Intelligence; Third International Ying Tan,Yuhui Shi,Zhen Ji Conference proceedings 2012 Springer-Verlag Berlin Heidelbe

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樓主: exposulate
51#
發(fā)表于 2025-3-30 12:15:00 | 只看該作者
52#
發(fā)表于 2025-3-30 16:04:59 | 只看該作者
53#
發(fā)表于 2025-3-30 19:11:49 | 只看該作者
Cluster_KDD: A Visual Clustering and Knowledge Discovery Platform Based on Concept Lattice In this paper, we propose new software of classification and KDD, called Cluster-KDD, which supports a larger set of data type and classification algorithm and offers KDD algorithms that generate comprehensible and exploitable rules by the user.
54#
發(fā)表于 2025-3-30 22:15:24 | 只看該作者
0302-9743 nstitute the Proceedings of the Third International conference on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The 145 full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major topics o
55#
發(fā)表于 2025-3-31 01:10:06 | 只看該作者
HTML Programming and Web Publishing,English discourse oral reading for 4000 middle school students, the average scoring difference between machine and human teacher was 0.66, while the scoring difference in human teachers was 0.57. The experience result shows that this system can be used in practice.
56#
發(fā)表于 2025-3-31 06:41:18 | 只看該作者
The World According to Programmers,is problem, an expandable recommendation system is proposed in this paper. It contains new flexible system framework and basic ideas of applicable algorithms. And it has been implemented in real IPTV system and works well.
57#
發(fā)表于 2025-3-31 10:29:39 | 只看該作者
58#
發(fā)表于 2025-3-31 16:57:07 | 只看該作者
Automatic Scoring on English Passage Reading QualityEnglish discourse oral reading for 4000 middle school students, the average scoring difference between machine and human teacher was 0.66, while the scoring difference in human teachers was 0.57. The experience result shows that this system can be used in practice.
59#
發(fā)表于 2025-3-31 19:25:29 | 只看該作者
An Expandable Recommendation System on IPTVis problem, an expandable recommendation system is proposed in this paper. It contains new flexible system framework and basic ideas of applicable algorithms. And it has been implemented in real IPTV system and works well.
60#
發(fā)表于 2025-4-1 01:22:49 | 只看該作者
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