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By Enrique Machuca, Lawrence Mandow, Lucie Galand (auth.), Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado, Juan M. Corchado (eds.)

This booklet constitutes the refereed court cases of the fifteenth convention of the Spanish organization for man made Intelligence, CAEPIA 20013, held in Madrid, Spain, in September 2013. The 27 revised complete papers provided have been rigorously chosen from sixty six submissions. The papers are equipped in topical sections on Constraints, seek and making plans, clever net and knowledge retrieval, fuzzy platforms, wisdom illustration, reasoning and common sense, desktop studying, multiagent structures, multidisciplinary subject matters and functions, metaheuristics, uncertainty in synthetic intelligence.

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This operation is implemented by mapping the bit sequences in an additional small structure [6] that ensures constant time resolution for some basic bit-operations, such as locating a certain 1 bit or 0 bit and counting the number of 1 bits or 0 bits up to a given position. 18 M. Arias Gallego et al. However, the implicit subject order hinders the access by predicate and object. HDTFoQ [10] includes two additional indexes providing this access in compressed space. Predicate Index. The Triples component lists all predicates in Sp , but an additional index should group all the occurrences of each predicate in this sequence.

We have designed an alternative RM3 estimation in which Eq. 1 is modified to promote terms that appear in the comments of the blog post: n P (d) · P (w|dcomm ) · P (w|R) ∝ d∈RS P (qi |d) (3) i=1 where w is any word appearing in the set of comments associated to documents in RS and P (w|dcomm ) is computed as the probability of w in the set of comments of document d. In this way, the comments act as proxies of the documents in terms of opinion. Observe that the estimation of the query likelihood remains at document level because the effect of topic relevance on the estimation of the relevance model is better encoded using the whole document.

In general, it is hard to detect whether a user account is being C. Bielza et al. ): CAEPIA 2013, LNAI 8109, pp. 22–31, 2013. © Springer-Verlag Berlin Heidelberg 2013 Time-Aware Evaluation of Methods for Identifying Active Household Members 23 accessed by more than one user, which raises difficulties for providing personalized services [1,2]. Users sharing a household do not necessarily access the service together. g. by a father, a mother, a son and a daughter), sharing a household account of video-on-demand service.

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