The two-point energy flow correlation, alternatively dubbed the energy-energy correlation (EEC), is a class of conformal field theory observable in maximally supersymmetric Yang-Mills (

This paper proposes a method for extracting bilingual text pairs from a comparable corpus. The basic idea of the method is to apply bootstrapping to an existing corpusbased cross-language information retrieval (CLIR) approach. We conducted preliminary tests with English and Japanese bilingual corpora. The bootstrapping method led to much better results for the task of extracting translation pai...

Bootstrapping has a tendency, called semantic drift, to select instances unrelated to the seed instances as the iteration proceeds. We demonstrate the semantic drift of bootstrapping has the same root as the topic drift of Kleinberg’s HITS, using a simplified graphbased reformulation of bootstrapping. We confirm that two graph-based algorithms, the von Neumann kernels and the regularized Laplac...

Bootstrapping is a useful technique for estimating the uncertainty of a predictor, for example, confidence intervals for prediction. It is typically used on small to moderate sized datasets, due to its high computation cost. This work describes a highly scalable online bootstrapping strategy, implemented inside Vowpal Wabbit, that is several times faster than traditional strategies. Our experim...

We explore the idea of creating a subjectivity classifier that uses lists of subjective nouns learned by bootstrapping algorithms. The goal of our research is to develop a system that can distinguish subjective sentences from objective sentences. First, we use two bootstrapping algorithms that exploit extraction patterns to learn sets of subjective nouns. Then we train a Naive Bayes classifier ...

A lack of universal initial configuration (or bootstrapping) of low-cost resource constrained wireless sensor networks (WSNs) has greatly limited interconnectivity. Traditional methods such as a central authority or a userentered passphrase are unacceptable on very resourceconstrained nodes. Many methods have been proposed; most of them only suitable in specific situations. An analysis of commo...

Iterative bootstrapping techniques are commonly used to extract lexical semantic resources from raw text. Their major weakness is that, without costly human intervention, the extracted terms (often rapidly) drift from the meaning of the original seed terms. In this paper we proposeMutual Exclusion bootstrapping (MEB) in which multiple semantic classes compete for each extracted term. This signi...