In this paper we provide theoretical support for the so-called “Sigmoidal Gaussian Cox Process” approach to learning the intensity of an inhomogeneous Poisson process on a ddimensional domain. This method was proposed by Adams, Murray and MacKay (ICML, 2009), who developed a tractable computational approach and showed in simulation and real data experiments that it can work quite satisfactorily...

As a simple model of a supernova explosion we study a point mass exploding into two equal point masses moving back to back at high velocity, or a superposition of such elementary explosions. We employ two calculational methods. In one method we assume an infinite acceleration for zero time and calculate the gravitational field and the distribution of emitted energy. A cutoff frequency in the po...

A data-oriented (empiricist) alternative to the currently pervasive (nativist) Principles and Parameters approach to the acquisition of stress assignment is investigated. A similaritybased algorithm, viz. an augmented version of Instance Based Learning is used to learn the system of main stress assignment in Dutch. In this non-trivial task a comprehensive lexicon of Dutch monomorphemes is used ...

Due to Taiwan's limited energy resources, the development of solar photovoltaic (PV) in Taiwan has become one of the most important solutions for meeting future energy supply needs and ensuring environmental protection. A huge amount of researches about renewable energy sources has emerged recently in response to these issues. However, the amount of researches considering the effects of various...

Student models in an Intelligent Tutoring System (ITS) aim at representing both correct and incorrect knowledge of the student in a particular domain of learning. This data serves as the basis upon which the Tutor can dispense remedial feedback. This paper presents a framework in which learners’ errors are diagnosed, classified and linked to cognitive processes associated with learning. The cog...

We propose a new method, based on Sparse Distributed Memory (Kanerva Networks), for studying dependency relations between different syntactic parameters in the Principles and Parameters model of Syntax. We store data of syntactic parameters of world languages in a Kanerva Network and we check the recoverability of corrupted parameter data from the network. We find that different syntactic param...

BACKGROUND The increasing number of elderly people in nursing homes with failing competence to give consent represents a great challenge to healthcare staff's protection of patient autonomy in the issues of life-prolonging treatment, hydration, nutrition and hospitalisation. The lack of national guidelines and internal routines can threaten the protection of patient autonomy. OBJECTIVES To pl...

The biolinguistic perspective regards the language faculty as an ‘‘organ of the body,’’ along with other cognitive systems. Adopting it, we expect to find three factors that interact to determine (I-) languages attained: genetic endowment (the topic of Universal Grammar), experience, and principles that are languageor even organism-independent. Research has naturally focused on I-languages and ...

In Augmented Reality (AR) applications tracking accuracy plays an important role. Many applications e.g. for measuring purposes or medical environments need accuracy statements which are as precise as possible for the given case. Here we present a tracking accuracy analysis based on simulated ground truth data. We relate our results to previous studies in that field and show the importance of a...

With the rapid development of space information technology and constant advancement of militarization of outer space, the legal aspects of information operations in outer space have aroused the attention of international community. Information operations in outer space have brand-new features and means, which are apparently different from those of traditional operations, thus challenging almost...