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In this paper we propose a new algorithm in order to reduce temporal complexity in Markov decision processes. Value iteration is a classical algorithm for solving them, but this algorithm and its variants are quite slow for discount factors close to one and their convergence properties depend to a great extent on a good state update order. It has been shown that improved topological value iteration...
In this paper we propose the combination of accelerated variants of value iteration with improved prioritized sweeping for the solution of stochastic shortest path Markov decision processes. For the fastest solution, asynchronous updates, prioritization and prioritized sweeping have been tested. A topological reordering algorithm was also compared with a static reordering algorithm. Experimental results...
To after-laying of new-installed high voltage (HV) power cables the use of on-site non-destructive on-site testing and diagnosis of new installations of the power cables is becoming an important issue to determine the actual condition of the cable systems and to determine the future performances. An overview is presented on on-site testing using a resonant test system and partial discharge diagnosis...
In this paper a research in classification of natural images by using Adaboost (adapting boosting) method is presented. This technique is used to identify the nature of the main regions in the image, that is, to identify if they are roads, trees, shades, sky, bushes or others interesting regions; image is previously segmented and each of its regions are represented by a R12 data vector (including...
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