Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
: The traditional transportation information inquiry mainly uses key words based on the text, and the service the inquiry system provided is onefold and only aims at one transporti...
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Software engineers think about an existing software system in terms of high-level models. The high-level models are translated to source code and the concepts represented in these...
Application domain specific DSP cores are becoming increasingly popular due to their advantageous trade–off between flexibility and cost. However, existing code generation metho...
Adwin H. Timmer, Marino T. J. Strik, Jef L. van Me...