We consider a model of learning Boolean functions from quantum membership queries. This model was studied in [26], where it was shown that any class of Boolean functions which is i...
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
We consider the convex optimization problem minx{f(x) : gj(x) ≤ 0, j = 1, . . . , m} where f is convex, the feasible set K is convex and Slater’s condition holds, but the funct...
We propose a novel type inference algorithm for a dependentlytyped functional language. The novel features of our algorithm are: (i) it can iteratively refine dependent types wit...
A new chip-set for video display processing in a consumer television or set-top box is presented. Key aspect of the chip-set is a high flexibility and programmability of multi-win...