Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
We present an interactive modeling system for flower composition that supports seamless transformation from an initial sketch to a detailed three-dimensional (3D) model. To begin,...
The emerging Model-Driven Engineering paradigm advocates the use of models as first-class citizens in the software development process, while artifacts such as documentation and so...
This paper presents a game-model of a gym training system, where the behavior of the system is specified using languages developed originally for reactive system design, which dri...
David Harel, Itai Segall, Hillel Kugler, Yaki Sett...