A support vector machine with the tabu search algorithm for freeway incident detection
Baozhen Yao, Ping Hu, Mingheng Zhang, Maoqing Jin (2014)
International Journal of Applied Mathematics and Computer Science
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Baozhen Yao, Ping Hu, Mingheng Zhang, Maoqing Jin (2014)
International Journal of Applied Mathematics and Computer Science
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Lin, Chia-Hung, Chen, Jian-Liung, Gaing, Zwe-Lee (2010)
Mathematical Problems in Engineering
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Liming Yuan, Jiafeng Liu, Xianglong Tang (2014)
International Journal of Applied Mathematics and Computer Science
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Eraslan, Ergün (2009)
Mathematical Problems in Engineering
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Michał Woźniak, Bartosz Krawczyk (2012)
International Journal of Applied Mathematics and Computer Science
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This paper presents a significant modification to the AdaSS (Adaptive Splitting and Selection) algorithm, which was developed several years ago. The method is based on the simultaneous partitioning of the feature space and an assignment of a compound classifier to each of the subsets. The original version of the algorithm uses a classifier committee and a majority voting rule to arrive at a decision. The proposed modification replaces the fairly simple fusion method with a combined classifier,...
Tilakaratne, C.D., Mammadov, M.A., Morris, S.A. (2009)
Journal of Applied Mathematics and Decision Sciences
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Acevedo, María Elena, Acevedo, Marco Antonio, Felipe, Federico (2009)
Mathematical Problems in Engineering
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Marek Zaremba (2010)
Control and Cybernetics
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Andreou, A.S., Zombanakis, G.A., Georgopoulus, E.F., Likothanassis, S.D. (2000)
Discrete Dynamics in Nature and Society
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Jan Rybka, Artur Janicki (2013)
International Journal of Applied Mathematics and Computer Science
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This paper describes a study of emotion recognition based on speech analysis. The introduction to the theory contains a review of emotion inventories used in various studies of emotion recognition as well as the speech corpora applied, methods of speech parametrization, and the most commonly employed classification algorithms. In the current study the EMO-DB speech corpus and three selected classifiers, the k-Nearest Neighbor (k-NN), the Artificial Neural Network (ANN) and Support Vector...
Roman Zajdel (2013)
International Journal of Applied Mathematics and Computer Science
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In this article, a new class of the epoch-incremental reinforcement learning algorithm is proposed. In the incremental mode, the fundamental TD(0) or TD(λ) algorithm is performed and an environment model is created. In the epoch mode, on the basis of the environment model, the distances of past-active states to the terminal state are computed. These distances and the reinforcement terminal state signal are used to improve the agent policy.
Liming Yuan, Jiafeng Liu, Xianglong Tang (2014)
International Journal of Applied Mathematics and Computer Science
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Multiple-Instance Learning (MIL) has attracted much attention of the machine learning community in recent years and many real-world applications have been successfully formulated as MIL problems. Over the past few years, several Instance Selection-based MIL (ISMIL) algorithms have been presented by using the concept of the embedding space. Although they delivered very promising performance, they often require long computation times for instance selection, leading to a low efficiency...
Ioannis Gragopoulos, Fotini - Niovi Pavlidou (1994)
The Yugoslav Journal of Operations Research
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Paweł Pławiak, Ryszard Tadeusiewicz (2014)
International Journal of Applied Mathematics and Computer Science
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Karol Grudziński (2010)
Control and Cybernetics
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