By Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti
This publication constitutes the refereed convention court cases of the thirteenth overseas convention on clever information research, which was once held in October/November 2014 in Leuven, Belgium. The 33 revised complete papers including three invited papers have been rigorously reviewed and chosen from 70 submissions dealing with all types of modeling and research equipment, regardless of self-discipline. The papers hide all points of clever info research, together with papers on clever aid for modeling and reading facts from complicated, dynamical systems.
Read Online or Download Advances in Intelligent Data Analysis XIII: 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 – November 1, 2014. Proceedings PDF
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Extra resources for Advances in Intelligent Data Analysis XIII: 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 – November 1, 2014. Proceedings
The construction and estimation of continuous–time analogues of discrete–time processes have been of interest for many years. More recently there has been an upsurge in interest for continuous–time representations of ARMA processes, due to their many ﬁnancial applications. These models, known as CARMA, have been developed by Brockwell and others (see , the survey, and more recently ), from a state–space representation of a formal high order stochastic diﬀerential equation, which is not physically realizable.
Structured Design. Prentice Hall (1979) 8. : Automatic clustering of software systems using a genetic algorithm. In: IEEE Proceedings STEP 1999 Software Technology and Engineering Practice, pp. 73–81 (1999) 9. : A new representation and crossover operator for search based optimization of software modularization. In: Proc. Genetic and Evolutionary Computation Conference, pp. 1351–1358. Morgan Kaufmann Publishers (2002) 10. : Search-based software engineering: Trends, techniques and applications.
However, using a scalar to control the number of iterations is a much more robust way of conducting the experiment than running the process for a fixed length. For this paper we attempted to improve the efficiency and convergence of the search process by introducing a strategy based on probability values of the significance of the seeded graphs. Using the new seeding strategy, we managed to produce results identical to the full modularisation of graphs while reducing the running time by more than 500 times.
Advances in Intelligent Data Analysis XIII: 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 – November 1, 2014. Proceedings by Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti