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ICASSP
2010
IEEE
13 years 9 months ago
Phone recognition using Restricted Boltzmann Machines
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...
Abdel-rahman Mohamed, Geoffrey E. Hinton
ALT
2005
Springer
14 years 6 months ago
Learnability of Probabilistic Automata via Oracles
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...
ECMDAFA
2005
Springer
236views Hardware» more  ECMDAFA 2005»
14 years 2 months ago
Model-Driven Architecture for Hard Real-Time Systems: From Platform Independent Models to Code
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...
Sven Burmester, Holger Giese, Wilhelm Schäfer
TROB
2002
169views more  TROB 2002»
13 years 8 months ago
Constructing reconfigurable software for machine control systems
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...
Shige Wang, Kang G. Shin
AIME
2007
Springer
14 years 3 months ago
Machine Learning Techniques for Decision Support in Anesthesia
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...
Olivier Caelen, Gianluca Bontempi, Luc Barvais