Large latencies over WAN will remain an obstacle to running communication intensive parallel applications on Grid environments. This paper takes one of such applications, Gaussian...
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
The concept of semantic and context aware intelligent systems provides a vision for the Information Society where the emphasis lays on computing applications that can sense context...
Minas Pertselakis, Dimitrios S. Frossyniotis, Andr...
Historical data suggest that returns of stocks and indices are not distributed independent and identically Normal, as is commonly assumed. Instead, returns of financial assets are...
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray