Microwave background temperature and polarization observations are a powerful way to constrain cosmological parameters if the likelihood function can be calculated accurately. The temperature and polarization fields are correlated, partial-sky coverage correlates power spectrum estimators at different l, and the likelihood function for a theory spectrum given a set of observed estimators is non...

The present research investigated the relationship between individual differences in maximizing versus satisficing (i.e., seeking to make the single best choice, rather than a choice that is merely good enough) and well-being, in interaction with the society in which an individual lives. Data from three distinct cultural groups (adults), drawn respectively from the U.S. (N=307), Western Europe ...

This paper provides an overview of the author’s Ph.D. thesis [8]. The primary contribution of this research involved developing techniques to extract architectural information about a system directly from its source code. To accomplish this objective a series of software clustering algorithms were developed. These algorithms use metaheuristic search techniques to partition a directed graph gene...

We study a robust version of local linear regression smoothers augmented with variable bandwidth. The proposed method inherits the advantages of local polynomial regression and overcomes lack of robustness of least-squares techniques. The use of variable bandwidth enhances the exibility of the resulting local M-estimators and makes them possible to cope well with spatially inhomogeneous curves,...

This technical report corrects errors in Table III in Section III-C of Differential Evolution: Difference Vectors and Movement in Solution Space [5]1 which appears in the proceedings of the 2009 Congress on Evolutionary Computation. The contents of that paper are reproduced here for ease of reference, but with corrections to Table III (now Table 3) and Section III-C (now Section 3.3), inclusion...

The paper presents new applications of the Ontology-to-Text Relation Strategy to Bulgarian Iconographic Domain. First the strategy itself is discussed within the triple ontology-terminological lexicon-annotation grammars, then – the related works. Also, the specificics of the semantic annotation and evaluation over iconographic data are presented. A family of domain ontologies over the iconogra...

FORR is a learning and problem-solving architecture that capitalizes upon synergy among a variety of limitedly rational agents. It takes the position that many reasonable but imperfect decision-making agents can, when they agree upon a course of action, quickly make choices that are good enough and will improve with learning. Some FORR agents react quickly and correctly to a small amount of sen...

Transaction processing applications traditionally run on the high-end servers. Up until recently, such servers had uniform core-to-core communication latencies. Now with multisocket multicores, for the first time we have Islands, i.e., groups of cores that communicate very fast with cores that belong to the same group and several times slower with cores from other groups. In current mainstream ...

It is commonplace knowledge that more and more data is collected everywhere and that the size of data sets available for knowledge discovery is increasing exponentially. On the one hand this is good, because learning with high-dimensional data and complex dependencies may need a large number of examples to give accurate results. On the other hand, there are several learning problems which canno...

The standard evaluation metrics for dialog act classifiers are based on the boolean outcome of the exact classification. For multidimensional tag sets, such as the ICSI-MRDA tag set, this is stricter than necessary, since the missclassification might be partial and this can be good enough for the application in which the classifier is embedded. We propose a new forgiving metric and show some pr...