using quarterly data from 2002:1 to 2013:2 we study the persistence in the inflation rates in iran based on the total cpi and the cpi in 12 subgroups. the persistence is investigated using two different tools: (i) the adf unit root test and (ii) bootstrap confidence intervals. we calculate a 90% confidence interval for the sum of the autoregressive coefficients, as a measure of persistence, usi...

This paper proposes a new bootstrapping framework using cross-lingual information projection. We demonstrate that this framework is particularly effective for a challenging NLP task which is situated at the end of a pipeline and thus suffers from the errors propagated from upstream processing and has low-performance baseline. Using Chinese event extraction as a case study and bitexts as a new s...

Some key ideas in statistics and probability are hard for students including sampling distributions Com puter simulation lets students gain experience with and intuition for these concepts Bootstrapping can reinforce that learning and provide a way for stu dents and future practitioners to estimate sam pling distributions when they have data but do not know the underlying distribution Bootstrap...

Given the difficulties in learning meanings of words by observing the referent, it has been suggested that children use the syntactic context of the word to predict part of its meaning, a hypothesis known as syntactic bootstrapping. Semantic bootstrapping is the opposite theory that the knowledge of semantics helps in acquiring syntax. While there is evidence that children can apply their knowl...

In this paper, we address exploratory analysis of textual data streams and we propose a bootstrapping process based on a combination of keyword similarity and clustering techniques to: i) classify documents into fine-grained similarity clusters, based on keyword commonalities; ii) aggregate similar clusters into larger document collections sharing a richer, more user-prominent keyword set that ...

The fundamental bootstrap assumption is that the bootstrap approximates reality; that the sampling distribution of a statistic under the empirical distribution F̂ approximates the sampling distribution under the true (unknown) distribution. A natural way to test this is to investigate how the bootstrap distribution varies when F̂ is replaced by other distributions. Iterated bootstrapping, jackkni...

__________________________________________________________________________________________ Abstract: Ontologies have become the best modeling tool, in many applications majorly semantic web. Creation of ontology remains as a difficult task. Ontology bootstrapping is one of the technique, depends on a set of predefined textual sources like web services. The advantage of web services usually cons...

We present a new language pair agnostic approach to inducing bilingual vector spaces from non-parallel data without any other resource in a bootstrapping fashion. The paper systematically introduces and describes all key elements of the bootstrapping procedure: (1) starting point or seed lexicon, (2) the confidence estimation and selection of new dimensions of the space, and (3) convergence. We...

By performing experiments on publicly available multi-class datasets we examine the effect of bootstrapping on the bias/variance behaviour of error-correcting output code ensembles. We present evidence to show that the general trend is for bootstrapping to reduce variance but to slightly increase bias error. This generally leads to an improvement in the lowest attainable ensemble error, however...