Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature. This is the first book focused on clustering with a particular emphasis on symmetry-based measures of simi…
No Inv.: 114046/P/Perp/081c
It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not directed to pursue goals of immediate relevance for surv…
Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. …
No Inv.: 114509/S/Perp/08/1c
No Inv.: 115371/SM/Perp/08/1c
No Inv.: 115652-115654/P/Perp/09/3c
No Inv.: 115498/SM/Perp/08/1c~128438/PH/Perp/10/1c~135993/SM/Perp/13/1c
This book constitutes the refereed proceedings of the Third International Workshop on Systems and Frameworks for Computational Morphology, SFCM 2013, held in Berlin, in September 2013. The 7 full papers were carefully reviewed and selected from 15 submissions and are complemented with an invited talk. The papers discuss recent advances in the field of computational morphology.
No Inv.: 116684/S/Perp/09/1c