Download Computational Collective Intelligence: 7th International by Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan PDF

By Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawiński

This two-volume set (LNAI 9329 and LNAI 9330) constitutes the refereed complaints of the seventh foreign convention on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015.

The one hundred ten complete papers provided have been conscientiously reviewed and chosen from 186 submissions. they're equipped in topical sections comparable to multi-agent structures; social networks and NLP; sentiment research; computational intelligence and video games; ontologies and data extraction; formal equipment and simulation; neural networks, SMT and MIS; collective intelligence in net platforms – net structures research; computational swarm intelligence; cooperative ideas for choice making and optimization; complex networking and protection applied sciences; IT in biomedicine; collective computational intelligence in academic context; technological know-how intelligence and knowledge research; computational intelligence in monetary markets; ensemble studying; monstrous facts mining and searching.

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Extra info for Computational Collective Intelligence: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part I

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Term weighting approaches in automatic text retrieval. Technical Report, Ithaca, NY, USA (1987) 13. : Machine Learning in Automated Text Categorization. ACM Computing Surveys 34, 1–47 (2002) 14. : The Fundamental Theory of Optimal “Anti-Bayesian” Parametric Pattern Classification Using Order Statistics Criteria. Pattern Recognition, 376–388 2013 15. : Order Statistics-based Parametric Classification for Multi-dimensional Distributions. Pattern Recognition, 3472–3482 (2013) 16. : Corrigendum to Three Papers that deal with “Anti”-Bayesian Pattern Recognition.

This is an avenue that we will explore in future research. As in the case of the quantile-based PR results, to the best of our knowledge, the pioneering nature and novelty of these TC results hold true. 2 Background: Traditional Text Classifiers Apart from the methods presented above, many authors have also looked at ways of enhancing the document and class representation by including not only words but also bigrams, trigrams, and n-grams in order to capture common multi-word expressions used in the text [4].

Mefteh et al. Case Study: The Red Donkey Game The Red Donkey is a classical game originating from Poland where it is known as Klotski (or Klocki). The original game is made of many wood blocks which can be arranged in various ways. The goal is to free the ”master bloc” (which is the RedDonkey) by successive shifts of the elements. The player is not allowed to remove blocks; he may only slide blocks horizontally and vertically. The objective is to exit the red donkey with a minimum number of moves.

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