The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
A digit-recurrence algorithm for computing the Euclidean norm of a 3-dimensional vector is proposed. Starting from the vector component with the highest order of magnitude as the ...
Abstract Due to the large variety of di erent embedded processor types, retargetable software development tools, such as compilers and simulators, have received attention recently....
The Function Point Method, estimation by analogy, and algorithmic modeling are three of the most commonly applied methods used to estimate the costs and worker hours neededfor a s...
Rotating a piece of paper while drawing is an integral and almost subconscious part of drawing with pencil and paper. In a similar manner, the advent of lightweight pen-based comp...
George W. Fitzmaurice, Ravin Balakrishnan, Gordon ...