A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for generalisability. In this paper, the technique is applied to face recognition using Error-Correcting Output Coding strategy to solve multiclass problems.

Two types of filtering failure are the well known filter divergence where errors may exceed the size of the corresponding true chaotic attractor and the much more severe catastrophic filter divergence where solutions diverge to machine infinity in finite time. In this paper, we demonstrate that these failures occur in filtering the L-96 model, a nonlinear chaotic dissipative dynamical system wi...

from applied linguistic point of view, the fundamental question facing the language teachers, methodologists and course designers is which procedure is more effective in fl/sl: learning to use or using to learn? definitely, in order to be a competent language user, knowledge of language system is necessary, but it is not sufficient to be a successful language user. that is why there was a gradu...

applications of supervised and unsupervised ensemble methods What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do y...

Bastion castle ensemble is a complex structure that belongs to defensive residences, which usually include the historic gardens and play an important role in formation of townscape. The two main structural components such built complexes are palatial body bastion fortifications. However, some bigger ensembles can also other functional buildings. Due nature structure, namely presence elements, f...

The purpose of this presentation is to evaluate and benchmark ensemble methods for time series prediction for daily currency exchange rates using ensemble methods based on feedforward neural networks and kernel partial least squares (K-PLS). Ensemble methods reduce the variance on the forecasts and allow for the assessment of confidence metrics and risk for the forecasting model. The use of neu...