Sequential decision theory formally solves the problem of rational agents in uncertain worlds if the true environmental prior probability distribution is known. Solomonoff’s theory of universal induction formally solves the problem of sequence prediction for unknown prior distribution. We combine both ideas and get a parameter-free theory of universal Artificial Intelligence. We give strong arg...

In this article we present a multi-purpose generic top-down algorithm. It is designed here for object recognition and is based on a progressive focusing. The object is assumed as constituted with several parts. The recognition is made by the detection of theses parts. The initial values and the relationships between each part are grouped in a state vector with its a priori knowledge mean value ...

Reading is a hobby to open the knowledge windows. Besides, it can provide the inspiration and spirit to face this life. By this way, concomitant with the technology development, many companies serve the e-book or book in soft file. The system of this book of course will be much easier. No worry to forget bringing the functional verification of programmable embedded architectures a top down appr...

Concurrency control has received considerable attention in multidatabase systems because of their characteristics such as heterogeneity and autonomy. Particulary, various concurrency control protocols have been developped in the litterature. In this paper, we present a protocol that guarantees the two level serializability criterion and built up according to the topdown approach.

A major objection to top-down accounts of lexical recognition has been that they are incompatible with an account of acquisition, it being argued that bottom-up segmentation must precede lexical acquisition. We counter this objection by presenting a top-down account of lexical acquisition. This is made possible by the adoption of a flexible criterion as to what may constitute a lexical item dur...

One of the defining features of the field of robotics is its breadth and heterogeneity. Unfortunately, despite the availability of several robotics middleware services, robotics software still fails to smoothly handle at least two kinds of variability: algorithmic variability and lower-level variability. The consequence is that implementations of algorithms are hard to understand and impacted b...

Most speaker diarization systems fit into one of two categories: bottom-up or top-down. Bottom-up systems are the most popular but can sometimes suffer from instability from merging and stopping criteria difficulties. Top-down systems deliver competitive results but are particularly prone to poor model initialization which often leads to large variations in performance. This paper presents a ne...

In this paper, we propose an advance in the field of computer-aided development of interactive applications, which consists in a methodology that integrates the advantages of graph-based design with a visual construction of software applications using component assembly mechanisms. We have exploited such technique enhancing the visual approach to develop the graphic and interactive features of ...

In this paper a top-down approach to generating load profiles of end-consumers is described. The focus is on small consumers connected to the low voltage (LV) grid, e.g. a single household. The algorithm is based on either given measurements or synthetically generated bottom-up load profiles as well as a known average load profile. The data are statistically analysed and described in cumulative...