Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and automatic (i.e. no parameter tuning). Naive Bayes and decision trees are fast and parameter-free, but their accuracy is often below state-of-the-art. Linear support vector machines (SVM) are fast and have good accuracy, but current implementations are sen...

This paper describes an efficient method for general norm approximation that appears frequently in various computer vision problems. Such a lot of problems are differently formulated, but frequently require to minimize the sum of weighted norms as the general norm approximation. Therefore we extend Iteratively Reweighted Least Squares (IRLS) that is originally for minimizing single norm. The pr...

This paper introduces a novel framework for compressive sensing of biomedical ultrasonic signals based on modelling data with stable distributions. We propose an approach to `p norm minimisation that employs the iteratively reweighted least squares (IRLS) algorithm but in which the parameter p is judiciously chosen by relating it to the characteristic exponent of the underlying alpha-stable dis...

Keywords--Regress ion, Latent classes, Iteratively reweighted least squares. I. I N T R O D U C T I O N We consider simultaneous constructing of several regressions by subsets of a given data set. Such an approach corresponds to so-called latent class models known in various statistical applications [1-3]. Latent class techniques are applied in factor and scaling analyses [4-8], structural equa...

In this paper, we analyze a new class of iterative re-weighted least squares (IRLS) algorithms and their effectiveness in signal recovery from incomplete and inaccurate linear measurements. These methods can be interpreted as the constrained maximum likelihood estimation under a two-state Gaussian scale mixture assumption on the signal. We show that this class of algorithms, which performs exac...

OBJECTIVE Treatment of restless legs syndrome (RLS) is primarily based on drugs. Since many patients report improvement of symptoms due to cooling their legs, we examined the efficacy of cryotherapy in RLS. PATIENTS AND METHODS 35 patients (28 women, 60.9±12.5years) with idiopathic RLS and symptoms starting not later than 6pm were randomized into three groups: cold air chamber at -60°C (n=12)...

OBJECTIVES Venous disease was proposed as a cause of restless legs syndrome (RLS) by Dr Karl A Ekbom in 1944, but has since remained largely unexplored. This study examines the effect of endovenous laser ablation (ELA) in patients with concurrent RLS and duplex-proven superficial venous insufficiency (SVI). METHODS Thirty-five patients with moderate to very severe RLS (as defined by the 2003 ...

The emergence of new effective therapies for idiopathic restless legs syndrome (iRLS) or Willis–Ekbom disease (WED) during the last 15 years resulted in an exponential increase of reports regarding this syndrome and, especially, treatment options. In this review, we summarise the main findings related to neuropharmacological aspects and non-pharmacological therapies of idiopathic RLS (iRLS). As...