that there are differences between the results obtained by SW and those obtained by manual computing. Alternative estimation of values and confidence intervals by means of bootstrapping technique is discussed.

1 Introduction The goal of physical mapping by hybridization[7, 8, 4] is to order a library of cloned fragments of DNA according to their position in the genomeusing hybridization experiments. Physical maps are important tools for localization and isolationof genes, for exploring the organization and evolution of genomes, and for efficient sequencing.

Among nascent entrepreneurial ventures, are sometypes of bootstrapping techniques more successfulthan others? We compare externally oriented and internally oriented techniques with respect to the likeli-hood of becoming an operational venture; and we com-pare cash-increasing and cost

Information extraction systems usually require two dictionaries: a semantic lexicon and a dictionary of extraction patterns for the domain. We present a multilevel bootstrapping algorithm that generates both the semantic lexicon and extraction patterns simultaneously. As input, our technique

) would be the economic indicator. This article tries to challenge the assumption of large sample sizes availability for membership function determination and shows that some other techniques may have less accuracy. To give a robust solution, bootstrapping and fuzzy simulation is suggested and a numerical

neighborhood for a computed solution. We compute a confidence value for putative local solutions derived from bootstrap replicates of the original solution. In the reliable parts, the confidence neighborhood and the computed solution tend to coincide. In regions that are ill-defined by the data

pp. 498-515,1990.

of the radio-tracer models used in the generation of a parametric image makes analytic variance expressions intractable. On the other hand, a natural extension of the usual bootstrap resampling approach is infeasible because of the expanded computational effort. This paper suggests a computationally

In the past few years, the form of Internet media known as “blogging ” or weblogging has exploded, especially in the realm of politics. We propose and implement a system for performing qualitative text analysis of political blogs, with the ultimate goal of placing them on a map to categorize them according to political bias. Our system performed surprisingly well on the task of categorizing entire blogs, though the success is not entirely unqualified, and the system is not suitable for categorizing individual articles. 1

this paper we will always consider statistics TN of the form TN (X 1 ; :::; XN ) = T (ae