Case-Based Reasoning Research and Development: 6th by Derek Bridge (auth.), Héctor Muñoz-Ávila, Francesco Ricci

By Derek Bridge (auth.), Héctor Muñoz-Ávila, Francesco Ricci (eds.)

This ebook constitutes the refereed lawsuits of the sixth overseas convention on Case-Based Reasoning, ICCBR 2005, held in Chicago, IL, united states, in August 2005.

The 19 revised complete learn papers and 26 revised poster papers provided including the abstracts of three invited talks have been rigorously reviewed and chosen from seventy four submissions. The papers deal with all present foundational, theoretical and study facets of case-based reasoning in addition to complicated functions both with leading edge advertisement deployment or useful, social, environmental or monetary significance.

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Our proposed method is applicable to any CBR system; however, in this paper, we demonstrate the improvement achieved by applying the method to a computational framework of a CBR system called TA3 . We evaluated the system on two publicly available data sets on mass-tocharge 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. 4% on the ovarian data set 4-3-02.

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Fu & J. ) Challenges in Game Artificial Intelligence: Papers from the AAAI Workshop (Technical Report WS-04-04). San Jose, CA: AAAI Press. Samuel, A. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 3(3), 210-229. Schaeffer, J. (2001). A gamut of games. AI Magazine, 22(3), 29-46. , & Jones, J. (2004). Reflection in action: Model-based self-adaptation in game playing agents. In D. Fu & J. ) Challenges in Game Artificial Intelligence: Papers from the AAAI Workshop (Technical Report WS-04-04).

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