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The investigation presented here compares the advantage of using a Kalman filter as opposed to an alpha-beta filter for multi-target tracking systems. The former is often used to speed up the computation time. However, it is shown here that due to the difficulty of data association the benefits are not as good as might be expected based on their relative results from single target tracking case. Extensive analyses are performed by selecting various scenarios where the correlation factor affects the performance of alpha-beta filter. [ABSTRACT FROM AUTHOR]

This paper investigates the use of diverse data fusion methods to improve the performance of the passage retrieval component in a question answering system. Our results obtained with 13 data fusion methods and 8 passage retrieval systems show that data fusion techniques are capable of improving the performance of a passage retrieval system by 6.43% and 11.32% in terms of the mean reciprocal rank and coverage measures respectively. [ABSTRACT FROM AUTHOR]

In this paper we investigate the effectiveness of applying fuzzy controllers to create strong computer player programs in the domain of backgammon. Fuzzeval, our proposed mechanism, consists of a fuzzy controller that dynamically evaluates the perceived strength of the board configurations it receives. Fuzzeval employs an evaluation function that adjusts the membership functions linked to the linguistic variables employed in the knowledge base. The membership functions are aligned to the average crisp input that was successfully used in the past winning games. Fuzzeval mechanisms are adaptive and have the simplicity associated with fuzzy controllers. Our experiments show that Fuzzeval improves its performance up to 42% after a match of only one hundred backgammon games played against Pubeval, a strong intermediate level program. Keywords: Fuzzy controller, machine learning, artificial neural networks, computer games, reinforcement learning. [ABSTRACT FROM AUTHOR]