Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
We consider the problem of predicting the surface pronunciations of a word in conversational speech, using a model of pronunciation variation based on articulatory features. We bu...
Timed Automata have proven to be useful for specification and verification of real-time systems. System design using Timed Automata relies on explicit manipulation of clock variabl...
Jin Song Dong, Ping Hao, Shengchao Qin, Jun Sun 00...
We demonstrate that high-level le system events exhibit selfsimilar behaviour, but only for short-term time scales of approximately under a day. We do so through the analysis of f...
Steven D. Gribble, Gurmeet Singh Manku, Drew S. Ro...
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...