In several areas of biomedicine, one needs to predict future measurements for a growing individual on the basis of longitudinal data. Here we consider the problem of estimating the values of a given measurement for a particular individual at T-T* points in time, given T* observations on that individual, and all T values for a sample of N "similar" individuals. This extends our previous discussi...

Existing methods of time series analysis of nonlinear dynamical systems deal with the dynamics on single (strange) attractors. We extend this method for systems that can be externally manipulated. We interact with a previously unknown system by perturbing it randomly and recording the responses. By following transients for a short time and approximating the global flow, we can predict the final...

A.V. Adamopoulos∗1, S. Likothanassis2, N.G. Pavlidis3, and M.N Vrahatis3 1 Medical Physics Laboratory, Department of Medicine, Democritus University of Thrace, GR-68100 Alexandroupolis, Hellas 2 Pattern Recognition Laboratory, Department of Computer Engineering and Informatics, University of Patras, GR-26500 Patras, Hellas 3 Computational Intelligence Laboratory (CI Lab), University of Patras A...

Motion-compensating long-term memory prediction extends the spatial dislplacement utilized in block-based hybrid video coding by a variable time delay permitting the use of more frames than the previously decoded one for motion compensaition. The long-term memory covers the decoded franies of some seconds at encoder and decoder. We investiflate the influence of memory size in our motion compens...

This paper presents an in-depth study of nonlinear long-term prediction of speech signals. While previous studies of nonlinear prediction focused on short-term prediction (with only moderate performance advantage over adaptive linear prediction in most cases), successful long-term prediction strongly depends on the nonlinear oscillator framework for speech modeling. This hypothesis has been con...

Long-term memory motion-compensated prediction extends the spatial displacement vector utilized in block-based hybrid video coding by a variable time delay permitting the use of more frames than the previously decoded one for motioncompensated prediction. The long-term memory covers several seconds of decoded frames at the encoder and decoder. The use of multiple frames for motion compensation ...

For the prediction with expert advice setting, we consider methods to construct forecasting algorithms that suffer loss not much more than any of experts in the pool. In contrast to the standard approach, we investigate the case of long-term interval forecasting of time series, that is, each expert issues a sequence of forecasts for a time interval ahead and the master algorithm combines these ...