Titlebook: Research and Development in Intelligent Systems XXXII; Incorporating Applic Max Bramer,Miltos Petridis Conference proceedings 2015 Springer

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Sparse Covariance Matrix Adaptation Techniques for Evolution Strategiesnce the search space is often continuous, evolution strategies use a multivariate normal distribution as search distribution. This necessitates the tuning and adaptation of the covariance matrix. Modern evolution strategies apply covariance matrix adaptation mechanisms in order to achieve this end.

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A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests of predictive accuracy. Motivated by the fact that each subsforest is built using a set of features that can overlap with those sets of features in other subforests, we hypothesise that using . can perform a collective feature engineering, by allowing subforests with better performance to grow and

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CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Foreststechniques, it has proved its superiority. Many researchers, however, believe that there is still room for enhancing and improving its performance accuracy. This explains why, over the past decade, there have been many extensions of RF where each extension employed a variety of techniques and strate

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Fast Handwritten Digit Recognition with Multilayer Ensemble Extreme Learning Machinefer from long training times and their complex nature. An alternative learning algorithm called Extreme Learning Machine overcomes these shortcomings by determining the weights of a neural network analytically. In this paper, a novel classifier based on Extreme Learning Machine is proposed that achi

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