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Titlebook: Case-Based Reasoning Research and Development; 6th International Co Héctor Mu?oz-ávila,Francesco Ricci Conference proceedings 2005 Springer

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發(fā)表于 2025-3-30 08:15:21 | 只看該作者
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發(fā)表于 2025-3-31 00:15:13 | 只看該作者
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發(fā)表于 2025-3-31 02:23:34 | 只看該作者
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發(fā)表于 2025-3-31 08:42:02 | 只看該作者
CBR for State Value Function Approximation in Reinforcement Learningrge and/or continuous the availability of a suitable mechanism to approximate a value function – which estimates the value of single states – is of crucial importance. In this paper, we investigate the use of case-based methods to realise that task. The approach we take is evaluated in a case study in robotic soccer simulation.
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發(fā)表于 2025-3-31 10:49:14 | 只看該作者
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發(fā)表于 2025-3-31 17:09:10 | 只看該作者
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發(fā)表于 2025-3-31 18:18:04 | 只看該作者
Improving Gene Selection in Microarray Data Analysis Using Fuzzy Patterns Inside a CBR Systemement the retrieval step in our new gene-CBR system. The proposed method is illustrated with the analysis of microarray data belonging to bone marrow cases from 43 adult patients with cancer plus a group of three cases corresponding to healthy persons.
60#
發(fā)表于 2025-3-31 21:41:46 | 只看該作者
Consumption/Investment Problems3. We evaluated the system on two publicly available data sets on mass-to-charge intensities for two ovarian data sets with different number of clusters. The highest classification accuracy is achieved with three and two clusters for the ovarian data set 8-7-02 and data set 4-3-02, respectively. The
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