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Titlebook: Case-Based Reasoning Research and Development; 6th International Co Héctor Muñoz-Ávila,Francesco Ricci Conference proceedings 2005 Springer

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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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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.
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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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