The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

In the present paper I describe the conceptual level of representation of a database, currently in development, which aims at fulfilling the Functional-Lexematic model. I will concentrate on the semantic component, as it is central for the theory of Functional…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…

En este artículo se presenta el trabajo que se está realizando para la llamada
ontologización superficial de WordNet, una estructura orientada a superar muchos de los
problemas estructurales de la popular base de conocimiento léxico. El resultado esperado es un

En este trabajo se investigan nuevas distancias entre fonemas y entre palabras que se
han usado para predecir si dos palabras del vocabulario de un sistema de reconocimiento del
habla se van a confundir o no. La distancia entre palabras…

A new terrestrial species of Pseudoeurycea is described from the mountains of the Mixteca region of Oaxaca. Compared with other members of the genus, the new species is relatively slender and short-legged. The background color of the dorsum of this…

A new tertiary stibine and bismuthine containing C-heterocyclic selenophene ring have been synthesized. Tris(2-selenophenyl)stibine (1) and tris(2-selenophenyl) bismuthine (2) and characterized by IR, MS, H-1, C-13, COSY, HETCOR NMR spectroscopy. Crystal structures of stibine and bismuthine have been determined. In…

Inheritance is one of the most important object-oriented mechanisms, allowing code reuse and a conceptual hierachical modelling of a given domain.
However, as a white-box reuse mechanism, it introduces hidden (implicit) coupling between classes in a hierarchy. This problem makes…

In this paper an adaptive fuzzy decentralized
control algorithm for trajectory tracking of robot manipulators is developed. The proposed decentralized control algorithm allows the overall closed-loop system to be stabilized while making the tracking error to be uniformly ultimately bounded…

Using the underlying idea of the current-mode control, a new dynamical, sliding-mode control for the boost dc-dc converter is proposed. Such controller is easy to design, robust under load and input voltage variations, exhibits fast response, does not depend on…