32 research outputs found
On the number of two-dimensional threshold functions
A two-dimensional threshold function of k-valued logic can be viewed as
coloring of the points of a k x k square lattice into two colors such that
there exists a straight line separating points of different colors. For the
number of such functions only asymptotic bounds are known. We give an exact
formula for the number of two-dimensional threshold functions and derive more
accurate asymptotics.Comment: 17 pages, 2 figure
On lattice point counting in -modular polyhedra
Let a polyhedron be defined by one of the following ways:
(i) , where ,
and ;
(ii) , where , and .
And let all rank order minors of be bounded by in absolute
values. We show that the short rational generating function for the power
series can be computed with the
arithmetic complexity where and are fixed, , and
is the complexity to compute the Smith Normal Form for integer matrix. In particular, for the case (i) and for
the case (ii).
The simplest examples of polyhedra that meet conditions (i) or (ii) are the
simplicies, the subset sum polytope and the knapsack or multidimensional
knapsack polytopes.
We apply these results to parametric polytopes, and show that the step
polynomial representation of the function , where
is parametric polytope, can be computed by a polynomial time even in
varying dimension if has a close structure to the cases (i) or (ii). As
another consequence, we show that the coefficients of the Ehrhart
quasi-polynomial can be computed by a polynomial time algorithm for fixed and
The determination optimum sampling interval of thermo-couple's signal in condition monitoring system of the blast furnace
It is noted, that the sampling interval of the temperature sensors is determined by a process of "accumulation-output melting products. Because of the irregularity of this process, it is advisable to uneven sampling of the signal. An algorithm for non-uniform sampling based on the estimation of the instantaneous errors of the prediction signal of the temperature sensor is offered. Carried out processing real data of blast furnace No. 3 plant of JiNan Iron & Steel Group Co.Ltd (China) has confirmed the effectiveness of this algorithm.Отмечено, что интервал дискретизации температурных датчиков определяется, в первую очередь, процессом "накопление-выпуск" продуктов плавки. В силу нерегулярности этого процесса целесообразно проводить неравномерную дискретизацию сигнала. Предложен алгоритм неравномерной дискретизации, основанный на оценке мгновенной ошибки интерполяции сигнала термодатчика. Проведена обработка реальных данных доменной печи №3 комбината JiNan Iron & Steel Group Co.Ltd (Китай), подтвердившая эффективность данного алгоритма
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries
Abstract. Exact learning of half-spaces over finite subsets of IR n from membership queries is considered. We describe the minimum set of labelled examples separating the target concept from all the other ones of the concept class under consideration. For a domain consisting of all integer points of some polytope we give non-trivial lower bounds on the complexity of exact identification of half-spaces. These bounds are near to known upper bounds.