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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
GRC
2008
IEEE
13 years 8 months ago
MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...
IS
2010
13 years 6 months ago
Identifying user strategies in exploratory learning with evolving task modelling
Abstract—In this paper we present work on adaptive identification of learners’ strategies, gradually developing a higher level of adaptation based on evolving models of mathem...
Mihaela Cocea, George D. Magoulas
IRES
2002
63views more  IRES 2002»
13 years 7 months ago
The Semantic Web, universalist ambition and some lessons from librarianship
Building the semantic web encounters problems similar to building large bibliographic systems. The experience of librarianship in controlling large, heterogeneous collections of b...
Terrence A. Brooks
WWW
2007
ACM
14 years 8 months ago
Comparing apples and oranges: normalized pagerank for evolving graphs
PageRank is the best known technique for link-based importance ranking. The computed importance scores, however, are not directly comparable across different snapshots of an evolv...
Klaus Berberich, Srikanta J. Bedathur, Gerhard Wei...