A Pivoting Algorithm for Convex Hulls and Vertex Enumeration of Arrangements and Polyhedra.
A planar test of linguistic projectivity
A Polynomial Solution for the Potato-peeling Problem.
A Polynomial-Time Linear Decision Tree for the Traveling Salesman Problem and Other NP-Complete Problems.
A primal sub-gradient method for structured classification with the averaged sum loss
A probabilistic analysis of a new satisfiability algorithm
A probabilistic approach to automaton-environment systems
A PROLOG program for analysis and synthesis of typical sentences taken from advertisements
A proof of protocol correctness
A property of biprefix codes
A property of the Schützenberger product.
À propos de la sémantique de l'appel par valeur selon A. Arnold
À propos de l’optimalité des algorithmes numériques : étude du calcul de
A Prototype of an Extension to the UDDI Registry Allowing Pubilcation and Search Based on Subjective Evaluations
The paper has been presented at the International Conference Pioneers of Bulgarian Mathematics, Dedicated to Nikola Obreshko and Lubomir Tschakalo , So a, July, 2006.The current paper introduces the usage of subjective evaluations by others as a tool that can support consumers' decisions. It summarizes the features of the main UDDI registry providers and presents an extension to any UDDI registry allowing users of the registry to publish subjective evaluations for any artifact found in it and to...
A proximity based macro stress testing framework
In this a paper a non-linear macro stress testing methodology with focus on early warning is developed. The methodology builds on a variant of Random Forests and its proximity measures. It is embedded in a framework, in which naturally defined contagion and feedback effects transfer the impact of stressing a relatively small part of the observations on the whole dataset, allowing to estimate a stressed future state. It will be shown that contagion can be directly derived from the proximities while...
A qualitative trajectory calculus as a basis for representing moving objects in Geographical Information Systems
A queueing model for error control of partial buffer sharing in ATM.
A queueing problem in pattern recognition
A rainfall forecasting method using machine learning models and its application to the Fukuoka city case
In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid multi-model...
A real-time identification of continuous linear systems