In an interesting study, published in The Journal, HABY et al. [1] compared an exercise challenge test with histamine challenge in children. Some children responded to both challenges, and some reacted to one challenge but not to the other. Most of the children reacted to neither challenge. I agree with at least one of the conclusions, namely that the study "suggests that the two challenges ide...

1. The purpose of the linear fit in Fig.2 was to show a trend line to illustrate the ab-sent correlation of time-to-treat versus visual gain. We figured that this is appropriate as visual gain data has a normal distribution. But then again you are perfectly right that this is not useful for a dedicated reader if there is no full regression analysis in the results and methods section. In consequ...

In this paper, a method for the on-line autocalibration of a controller, based on statistical regression techniques, is presented. The control of neuromuscular blockade is used as a case study. The method relies on the information about the patients dynamics, inferred from the response induced by the initial bolus dose given in the beginning of anaesthesia. A new approach to the characterizatio...

The stringent quality requirement of petroleum products in highly competitive markets makes on-line controlling of distillation composition essential. In this paper, a novel method using sensitivity matrix analysis and kernel ridge regression to implement on-line estimation of distillation compositions is proposed. In the approach, the sensitivity matrix analysis is presented to select the most...

OBJECTIVE To determine the relationship between the morphology of the fovea and visual acuity in patients with an untreated idiopathic epiretinal membrane (ERM). METHODS We examined 52 eyes of 45 patients diagnosed with an ERM. The morphology of the foveal area was determined by spectral-domain optical coherence tomography. The relationships between the best-corrected visual acuity (BCVA) and...

An enhanced power-line communications channel estimation method in discrete multi-tone (DMT) communication system based on sparse Bayesian regression is presented. By exploiting a probabilistic Bayesian learning framework, the sparse model used provides an accurate model for channel estimation in presence of noise and consequently equalization. We consider frequency domain equalization (FEQ) us...

This paper describes an on-line method for building ε-insensitive support vector machines for regression as described in (Vapnik, 1995). The method is an extension of the method developed by (Cauwenberghs & Poggio, 2000) for building incremental support vector machines for classification. Machines obtained by using this approach are equivalent to the ones obtained by applying exact methods like...

OBJECTIVES To report predictors of outcomes of second-line ART for HIV treatment in a resource-limited setting. METHODS All adult ART-naïve patients who initiated standard first-line treatment between April 2004 and February 2012 at four public-sector health facilities in Johannesburg, South Africa, experienced virologic failure and initiated standard second-line therapy were included. We ass...

We present a novel methodology for regression trees generation that uses the reinforcement learning frame for learning efficient regression trees. We describe the basic variant of such a methodology that uses the Monte-Carlo method to explore the space of possible regression trees. Comparison with other methods of regression is performed and evaluated. Our algorithm is implemented as a software...