For decades, Hidden Markov Models (HMMs) have been the state-of-the-art technique for acoustic modeling despite their unrealistic independence assumptions and the very limited rep...
Efficient learnability using the state merging algorithm is known for a subclass of probabilistic automata termed µ-distinguishable. In this paper, we prove that state merging alg...
Omri Guttman, S. V. N. Vishwanathan, Robert C. Wil...
The model-driven software development for hard real-time systems promotes the usage of the platform independent model as major design artifact. It is used to develop the software l...
Reconfigurable software is highly desired for automated machine tool control systems for low-cost products and short time to market. In this paper, we propose a software architectu...
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...