In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive description is needed. This problem, known as disjunctive learning, is mainly solved by greedy methods, iteratively adding rules until all positive examples are covered. Each rule is determined by discriminating properties, whe...

INTRODUCTION In November 2011, the Knee Society published its new KSS score to evaluate objective clinical data and also patient expectations, satisfaction and knee function during various physical activities before and after total knee arthroplasty (TKA). We undertook the French cross-cultural adaptation of this scoring system according to current recommendations. HYPOTHESIS The French versi...

INTRODUCTION Peripapillary retinal nerve fiber layer (RNFL) thickness analysis is a subjective method of analysis of glaucomatous damage. As almost 50% of retinal ganglion cells are located in the macula, assessment of macular thickness can be an alternative method for diagnosis of glaucoma. OBJECTIVES To evaluate the changes in macular and retinal nerve fiber layer thickness in controls, gla...

BACKGROUND Scores to predict the occurrence of postoperative vomiting (PV) or nausea and vomiting (PONV) are well established in adult patients. The aim of this survey was to evaluate the applicability of risk scores developed and tested in adult patients in 983 paediatric patients (0-12 yr) undergoing various surgical procedures. METHOD The predictive properties of five models were compared ...

We present a comparison of behavioral equivalences for nondeterministic and probabilistic processes whose activities are all observable. In particular, we consider trace-based, testing, and bisimulation-based equivalences. For each of them, we examine the discriminating power of three variants stemming from three approaches that differ for the way probabilities of events are compared when nonde...

In this paper, we propose a novel method to adaptively select the most informative and least redundant feature subset, which has strong discriminating power with respect to the target label. Unlike most traditional methods using vectorial features, our proposed approach is based on graph-based features and thus incorporates the relationships between feature samples into the feature selection pr...

Remotely Sensed Images are composite images consisting of large number of spectral bands, from electromagnetic spectrum. Analysis and Implementation of such images is much complex processing and takes lot of time. Therefore, dimension of these images must be reduced before any complex operation is performed. Selecting bands, which have higher capability to discriminate between classes, is a pro...

The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, color and texture, which can be obtained from seed images. In this work we complement previous studies on the discriminating power of these characteristics for the unique identi...

PURPOSE This study aimed to determine whether routine urinalysis may serve as a tool in discriminating between acute appendicitis and perforated appendicitis in children. BASIC PROCEDURES We prospectively collected 357 patients with clinically suspected acute appendicitis. Urinalysis was performed in patients with clinically suspected acute appendicitis before surgical intervention. Routine u...

Autopolyploid taxa present numerous challenges for population genetic analyses due to difficulties determining allele dosage. Dosage ambiguity hinders accurate assessment of allele frequencies, multilocus genotypes (MLGTs), as well as levels and patterns of clonality. The pervasiveness of polyploidy in the evolutionary history of plant taxa makes this a recurring problem. Whereas diploidization...