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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 7 months ago
On hopeful monsters, neutral networks and junk code in evolving L-systems
This paper investigates L-system evolution through experiments with a simulation platform of virtual plants. The conducted simulations vary the occurrence probability of terminal ...
Stefan Bornhofen, Claude Lattaud
ASWEC
2010
IEEE
15 years 6 months ago
Studying Software Evolution for Taming Software Complexity
—Reducing software complexity is key to reducing software maintenance costs. To discover complexity-reducing practices, in this paper we study the evolution of seven sizable open...
Steve D. Suh, Iulian Neamtiu
ASC
2008
15 years 6 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
ASC
2007
15 years 6 months ago
Unsupervised learning with normalised data and non-Euclidean norms
The measurement of distance is one of the key steps in the unsupervised learning process, as it is through these distance measurements that patterns and correlations are discovere...
Kevin Doherty, Rod Adams, Neil Davey
DKE
2007
95views more  DKE 2007»
15 years 6 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...