Bootstrap procedure

In the context of infectious disease, sequence clustering can be used to provide important insights into the dynamics of transmission. Cluster analysis is usually performed using a phylogenetic approach whereby clusters are assigned on the basis of sufficiently small genetic distances and high bootstrap support (or posterior probabilities).

9p vioklahoma2711 19-11-2020 7 1   Download

Using 2009–2017 Taiwanese insurance company data from the database of Taiwan Economic Journal, we employ Simar–Wilson bootstrapping to prevent efficiency overestimation in data envelopment analysis (DEA) and then regress the factors on these efficiency scores by using a truncated rather than traditional Tobit model. Evidence shows that the companies’ modified average efficiency score is 0.8784 (0.9068 using DEA). Meanwhile, domestic insurers outperform foreign insurers, and larger companies perform more poorly.

1p chauchaungayxua2 19-01-2020 31 1   Download

This paper presents an unsupervised learning algorithm for sense disambiguation that, when trained on unannotated English text, rivals the performance of supervised techniques that require time-consuming hand annotations. The algorithm is based on two powerful constraints - that words tend to have one sense per discourse and one sense per collocation - exploited in an iterative bootstrapping procedure. Tested accuracy exceeds 96%.

8p bunmoc_1 20-04-2013 45 2   Download

This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the relations between headwords of each phrase in a sentence by an acyclic, planar, undirected graph. Our contributions are three-fold. First, we incorporate the dependency structure into an n-gram language model to capture long distance word dependency. Second, we present an unsupervised learning method that discovers the dependency structure of a sentence using a bootstrapping procedure. ...

8p bunbo_1 17-04-2013 48 4   Download

This paper presents a new bootstrapping approach to named entity (NE) classification. This approach only requires a few common noun/pronoun seeds that correspond to the concept for the target NE type, e.g. he/she/man/woman for PERSON NE. The entire bootstrapping procedure is implemented as training two successive learners: (i) a decision list is used to learn the parsing-based high precision NE rules; (ii) a Hidden Markov Model is then trained to learn string sequence-based NE patterns.

8p bunbo_1 17-04-2013 42 2   Download

We present an approach to pronoun resolution based on syntactic paths. Through a simple bootstrapping procedure, we learn the likelihood of coreference between a pronoun and a candidate noun based on the path in the parse tree between the two entities. This path information enables us to handle previously challenging resolution instances, and also robustly addresses traditional syntactic coreference constraints. Highly coreferent paths also allow mining of precise probabilistic gender/number information. ...

8p hongvang_1 16-04-2013 48 1   Download

Since such a fund is determined according to a pre-ranking of all fund alphas, a correct inference about its alpha must take into account the entire cross-section of the fund alphas3. In this context, they advocate to use a bootstrap procedure, and conclude that they account for luck in the sense that they correctly compute the p-values of the individual funds4. This definition of luck is not related to the issue of multiple testing investigated in this paper.

301p dangsuynghi 15-03-2013 53 8   Download