LEER 发表于 2025-3-26 21:26:55

Learning from Demonstration and Case-Based Planning for Real-Time Strategy Games,velopers need to spend a big effort in hand coding specific strategies that play at a reasonable level for each new game. One of the long term goals of our research is to develop artificial intelligence techniques that can be directly applied to such domains, alleviating the effort required by game developers to include advanced AI in their games.

Initial 发表于 2025-3-27 04:02:01

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acquisition 发表于 2025-3-27 08:11:06

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怎样才咆哮 发表于 2025-3-27 11:01:22

Harmony Search Applications in Industry,d..The HS algorithm (Geem et al 2001) mimics the behaviors of musicians improvising to find a fantastic harmony in terms of aesthetics. Similarly, the optimization process seeks a superior vector in terms of objective function. This is the core analogy between improvisation and optimization in the HS algorithm.

Infant 发表于 2025-3-27 16:16:55

Detection of Phishing Attacks: A Machine Learning Approach,h as passwords, account details, or credit card numbers.Though there are several anti-phishing software and techniques for detecting potential phishing attempts in emails and detecting phishing contents on websites, phishers come up with new and hybrid techniques to circumvent the available software and techniques.

乞讨 发表于 2025-3-27 18:40:25

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falsehood 发表于 2025-3-28 00:55:22

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多嘴 发表于 2025-3-28 04:27:50

Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/s/image/870423.jpg

enchant 发表于 2025-3-28 07:25:54

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价值在贬值 发表于 2025-3-28 12:30:15

Evolutionary Regression and Neural Imputations of Missing Values,While the information age has made a large amount of data available for improved industrial process planning, occasional failures lead to missing data. The missing data may make it difficult to apply analytical models. Data imputation techniques help us fill the missing data with a reasonable prediction of what the missing values would have been.
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查看完整版本: Titlebook: Soft Computing Applications in Industry; Bhanu Prasad Book 2008 Springer-Verlag Berlin Heidelberg 2008 Markov.Markov model.Statistica.algo