This paper proposes axiomatic foundations of expectation formation rules, by which deviating players anticipate the reaction of external players in a partition function game. The axioms single out the projection rule among the rules that depend on the current partition and the pessimistic rule among the ones that are independent of the current partition. This analysis suggests that the projecti...

Human behavior pattern recognition exploited using Artificial Neural Networks (ANN) is at the core of Intelligence (AI) classification applications. School trip transport forecasting mode selection based upon ANN ability provided an easy-to-use scientific toolkit for sustainable urban policies designing and implementation. The paper capitalized acknowledged to recognize classify patterns leadin...

It is found that sub-pixel classifiers for classification of multi-spectral remote sensing data yield a higher accuracy. With this objective, a study has been carried out, where fuzzy set theory based sub-pixel classifiers have been compared with statistical based sub-pixel classifier for classification of multi-spectral remote sensing data.Although, a number of Fuzzy set theory based classifie...

We present a parametric abstract domain for array content analysis. The method maintains invariants for contiguous regions of the array, similar to the methods of Gopan, Reps and Sagiv, and of Halbwachs and Péron. However, it introduces a novel concept of an array content graph, avoiding the need for an up-front factorial partitioning step. The resulting analysis can be used with arbitrary nume...

Relative intensity noise spectra of weakly index guided VCSELs in a multi{transverse mode regime are analyzed by using a model that takes into account all the transverse modes supported by the waveguide. Several resonance peaks are obtained in the noise spectra that correspond to the relaxation oscillation frequencies of the transverse modes. In is shown that for low spatially overlapping trans...

Existing systems for automatic genre classification follows a supervised framework that extracts genre-specific information from manually-labeled music data and then identifies unknown music data. However, such systems may not be suitable for personal music management, because manually labeling music based on individually-defined genres can be labor intensive and subject to inconsistence from t...

A classification tree represents the probability spaceP of posterior probabilities p(y|x) of label given feature by a recursive partition of the feature space X , where each partition is performed by a test on the feature x called a split rule. To each set of the partition is assigned a posterior probability distribution, and p(y|x) for a feature x ∈ X is then defined as the probability distrib...

Processing element allocation is a fundamental service for the efficiency and performance of today’s partitionable scalable high performance computing (SHPC) systems. In this paper we give an overview of different partitioning policies and introduce a Partition Management Tool (PMT) we developed. PMT could be integrated into the Intel Paragon’s ParAide tool environment and is a major step towar...