Learning the various structures and levels of memory hierarchy by means of conventional procedures is a complex subject. A memory hierarchy environment (Web-MHE) was proposed and ...
How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly const...
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
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...
To provide personalization and adaptivity in technology enhanced learning systems, the needs of learners have to be known by the system first. Detecting these needs is a challengin...