Front Matter; Challenge for Info-plosion; Machine Learning in Ecosystem Informatics; Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity; A Hilbert Space Embedding for Distributions; Time and Space Efficient Discovery of Maximal Geometric Graphs; Iterative Reordering of Rules for Building Ensembles Without Relearning; On Approximating Minimum Infrequent and Maximum Frequent Sets; A Partially Dynamic Clustering Algorithm for Data Insertion and Removal; Positivism Against Constructivism: A Network Game to Learn Epistemology
Summary
This book constitutes the refereed proceedings of the 10th International Conference on Discovery Science, DS 2007, held in Sendai, Japan, in October 2007, co-located with the 18th International Conference on Algorithmic Learning Theory, ALT 2007. The 17 revised long papers and the 10 revised regular papers presented together with 5 invited papers were carefully reviewed and selected from 55 submissions. The papers cover all issues in the area of development and analysis of methods for intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientifi
