In this work, two models are proposed for electricity prices as energy commodity prices which in addition to mean-reverting properties have jumps and spikes, due to non-storability of electricity. The models are simulated using an Euler scheme, and then the Monte-Carlo method is used to estimate the expectation of the discounted cash-flow under historical probability, which is considered as the...

So far, most methods for identifying sequences under selection based on comparative sequence data have either assumed selectional pressures are the same across all branches of a phylogeny, or have focused on changes in specific lineages of interest. Here, we introduce a more general method that detects sequences that have either come under selection, or begun to drift, on any lineage. The metho...

There are presented automatic classification methods which, according to the authors' conceptions, are specific to biology. In section 1 there are included the necessary steps made in the automatic classification. In section 2 there are presented 2 methods of automatic classification which are frequently used in any field and in opposition with it the section 3 presents another method from lite...

Most approaches in sense disambiguation have been restricted to supervised training over manually annotated, non-technical, English corpora. Application to a new language or technical domain requires extensive manual annotation of appropriate training corpora. As this is both expensive and inefficient, unsupervised methods are to be preferred, specifically in technical domains such as medicine....

In this paper, we relate an experiment whose aim is to study how to combine two existing approaches for ensuring software correctness: Domain Specific Languages (DSLs) and formal methods. As examples, we consider the Bossa DSL and the B formal method. Bossa is dedicated to the development of process schedulers and has been used in the context of Linux and Chorus. B is a refinement based formal ...

Speech disfluencies are very common in our everyday life and considerably affect NLP systems, which makes systems that can detect or even repair them highly desirable. Previous research achieved good results in the field of disfluency detection but only in subsets of the disfluency types. The aim of this study was to develop a technology that is able to cope with a broad field of disfluency typ...