An analysis of dimensionality reduction techniques for visualizing evolution
We consider the problem of visualizing the population dynamics along an evolutionary run
using a dimensionality reduction technique for mapping individuals from the original search …
using a dimensionality reduction technique for mapping individuals from the original search …
Unveiling evolutionary algorithm representation with DU maps
Evolutionary algorithms (EAs) have proven to be effective in tackling problems in many
different domains. However, users are often required to spend a significant amount of effort …
different domains. However, users are often required to spend a significant amount of effort …
Meta-learning architectures: Collecting, organizing and exploiting meta-knowledge
J Vanschoren - Meta-Learning in Computational Intelligence, 2011 - Springer
While a valid intellectual challenge in its own right, meta-learning finds its real raison d'être
in the practical support it offers Data Mining practitioners [20]. Indeed, the whole point of …
in the practical support it offers Data Mining practitioners [20]. Indeed, the whole point of …
Self-organization of supervised models
P Kordík, J Černý - Meta-Learning in Computational Intelligence, 2011 - Springer
The cornerstone of successful data mining is to choose a suitable modelling algorithm for
given data. Recent results show that the best performance can be achieved by an efficient …
given data. Recent results show that the best performance can be achieved by an efficient …
[PDF][PDF] Dataset visualization based on a simulation of intermolecular forces
J Drchal, P Kordık, M Šnorek - IWIM 2007-International Workshop on …, 2007 - Citeseer
The visualization is an important technique used in many stages of data mining process.
This article deals mostly with visualization for preprocessing purposes. The aim of our …
This article deals mostly with visualization for preprocessing purposes. The aim of our …