Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters, or deusel y populated regions, in a multi-dir nensional clataset. Prior work does not adequately address the problem

operates through the transmission of chromosomal segments. Experimental methods for haplotype determination exist, but they are currently timeconsuming and expensive. Statistical methods for inferring haplotypes are therefore of considerable interest. In some studies, data may be available on related

Parallel discrete event simulation (PDES), sometimes I called distributed simulation, refers to the execution of a single discrete event simulation program on a parallel computer. PDES has attracted a considerable amount of interest in recent years. From a pragmatic standpoint, this interest arises

has followed the Royal College of Surgeons working

networks in the presence of different propagation delays and path losses, ” in Proc. 3rd

syntax (HOAS) in representing formal systems. Although these systems seem su-perficially the same, they differ in a variety of ways; for example, how they handle a context of assumptions and which theorems about a given formal system can be concisely expressed and proved. Our contributions in this paper are three-fold: 1) we develop a common infrastructure for representing benchmarks for systems supporting reasoning with binders, 2) we present several concrete benchmarks, which highlight a variety of different aspects of reasoning within a context of as-sumptions, and 3) we design an open repository ORBI (Open challenge problem Repository for systems supporting reasoning with BInders). Our work sets the stage for providing a basis for qualitative comparison of different systems. This allows us to review and survey the state of the art, which we do in great detail for four systems in Part 2 of this paper (Felty et al, 2014). It also allows us to outline future fundamental research questions regarding the design and implementation

by our classification of N-factor affine family into N + 1 non-nested subfamilies of models. Specializing to three-factor ATSMs, our analysis suggests, based on theoretical considerations and empirical evidence, that some subfamilies of ATSMs are better suited than others to explaining historical

This paper reviews recent research that grapples with the question: What happens after an exogenous shock to monetary policy? We argue that this question is interesting because it lies at the center of a particular approach to assessing the empirical plausibility of structural economic models

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach

We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at random from a matrix M. Can we complete the matrix and recover the entries that we have not seen? We show that one can