Complete analysis of H-NMR spectra of trans-1,2-dichlorocyclopentane and trans-1,2-dibromocyclopentane was performed with use of our total lineshape fitting algorithm VALISA. The resulting high precision spin-spin coupling constants were then applied to the problem of conformational analysis, yielding a continuos potential of pseudorotation for the studied compounds in CDCl3, CCl4, and CD3CN so...

Case-based reasoning (CBR) provides an adequate framework to cope with continuous domains, where a great amount of new valuable experiences are generated in a non-stop way. CBR systems become more competent in their evolution over time by means of learning new relevant experiences. There are two central problems derived from the continuous nature of some domains: the fast growing size of the ca...

Animation is a temporally continuous phenomenon, but is typically programmed in terms of a discrete sequence of changes. The use of discreteness serves to accommodate the machine that is presenting an animation, rather than the person modeling an animation with the help of a computer. Using a continuous model of time for animation allows for natural speciication, avoiding some artiicial details...

Reinforcement learning methods, surviving the control difficulties of the unknown environment, are gaining more and more popularity recently in the autonomous robotics community. One of the possible difficulties of the reinforcement learning applications in complex situations is the huge size of the statevalueor action-value-function representation [2]. The case of continuous environment (conti...

The paper presents the differential equations that characterize an asynchronous automaton and gives their solution n x } 1 , 0 { : → R . Remarks are made on the connection between the continuous time and the discrete time of the approach. The continuos and discrete time, linear and branching temporal logics have the semantics depending on x and their formulas give the properties of the automaton.

Many data mining algorithms require as a pre-processing step the discretization of real-valued data. In this paper we review some discretization methods based on clustering. We describe in detail the algorithms of discretization of a continuos real-valued attribute using the hierarchical graph clustering methods.