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BOOTSTRAPPING TECHNIQUE AND CONFIDENCE INTERVALS
"... Abstract: This article evaluates methods of computing confidence intervals and values of descriptive statistics, capability and performance indexes with the help of conventional procedures, statistical SW, and the method of generating random subgroups. Comparison of different methods has shown that ..."
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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.
Bootstrap Techniques in Physical Mapping
"... 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 an ..."
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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.
Bootstrapping Techniques and New Venture Emergence
"... 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-decreasing tech ..."
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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
Learning dictionaries for information extraction by multi-level bootstrapping
- in AAAI’99/IAAI’99 – Proceedings of the 16th National Conference on Artificial Intelligence & 11th Innovative Applications of Artificial Intelligence Conference
"... 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 require ..."
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Cited by 378 (21 self)
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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
Application of bootstrap techniques to physical mapping, Genomics 69
- Genomics
, 2000
"... Ordering genetic markers or clones from a genomic library into a physical map is a central problem in genetics. In the presence of errors, there is no efficient algorithm known that solves this problem. Based on a standard heuristic algorithm for it, we present a method to construct a confidence nei ..."
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Cited by 2 (0 self)
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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
Uncertainty Using Bootstrap Technique and Fuzzy Simulation
, 2011
"... This article, by leaving pre-determined membership function of a fuzzy set which is a basic assumption for such subject, will try to propose a hybrid technique to select the most economic project among alternative projects in fuzziness interest rates condition. In this way, net present worth (NPW) w ..."
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) 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
An Approximate Bootstrap Technique for Variance Estimation in Parametric Images
- in Parametric Images", Med. Imag. Anal
, 1998
"... Parametric imaging procedures offer the possibility of comprehensive assessment of tissue metabolic activity. Estimating variances of these images is important for the development of inference tools in a diagnostic setting. However, these are not ready to obtain because the complexity of the radi ..."
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Cited by 1 (1 self)
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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
Political Blog Analysis Using Bootstrapping Techniques
"... 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 ac ..."
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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
Application of Bootstrap Techniques for the Estimation of Target Decomposition Parameters in RADAR Polarimetry
"... Abstract — The precise estimation of the eigenvalues of PolSAR reponses is essential in the derivation of Target Decomposition parameters such as the Cloude-Pottier parameters (Entropy, Anisotropy and average angle Alpha). However, sample eigenvalues are strongly biased for small sample sizes leadin ..."
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leading to underestimated Entropy and overestimated Anisotropy values. In this paper, we investigate the use of a particular bootstrap technique for the correction of the bias. Bootstrap techniques are attractive because they can deal with very small sample sizes under minimal assumptions on the signal
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