The problem of tag completion is to learn the missing tags of an image. In this paper, we propose to learn a tag scoring vector for each image by local linear learning. A local linear function is used in the neighborhood of each image to predict the tag scoring vectors of its neighboring images. We construct a unified objective function for the learning of both tag scoring vectors and local lin...

A profile comparison method with position-specific scoring matrix (PSSM) is one of the most accurate alignment methods. Currently, cosine similarity and correlation coefficient are used as scoring functions of dynamic programming to calculate similarity between PSSMs. However, it is unclear that these functions are optimal for profile alignment methods. At least, by definition, these functions ...

Abstract Virtual screening (VS) based on molecular docking has emerged as one of the mainstream technologies drug discovery due to its low cost and high efficiency. However, scoring functions (SFs) implemented in most programs are not always accurate enough how improve their prediction accuracy is still a big challenge. Here, we propose an integrated platform called ASFP, web server for develop...

This paper introduces a discriminative decision function scoring method for speaker recognition with the Joint Factor Analysis (JFA) system. In the scoring module of the JFA system, an approximate form of the decision function is proposed. Based on the approximation, we present a discriminative decision function by reestimating the contribution of each speech sound unit to the decision function...

Docking is an important tool in computational drug discovery that aims to predict the binding pose of a ligand to a target protein through a combination of pose scoring and optimization. A scoring function that is differentiable with respect to atom positions can be used for both scoring and gradient-based optimization of poses for docking. Using a differentiable grid-based atomic representatio...

background cystic fibrosis is a complex progressive disease which assessing its progression and severity is essential. for this purpose there are scoring systems available to evaluate the disease severity. objectives the aim of the present study was to determine the clinical status of cf patients using shwachman score system in the pediatric pulmonary ward of masih daneshvari hospital. patients...

INTRODUCTION Many scoring systems have been used for elbow disorders. However, only few of these have been validated, and many assess only few aspects of elbow function. METHODS A literature search was performed using the keyword 'elbow' in combination with 'scoring system', 'outcome assessment', 'elbow disorder' and 'clinical evaluation'. RESULTS Eighteen scoring systems are currently avai...

This paper tests the performance of a simple empirical scoring function on a set of candidate designs produced by a de novo design package. The scoring function calculates approximate ligand-receptor binding affinities given a putative binding geometry. To our knowledge this is the first substantial test of an empirical scoring function of this type on a set of molecular designs which were then...

Docking scoring functions can be used to predict the strength of protein-ligand binding. It is widely believed that training a scoring function with low-quality data is detrimental for its predictive performance. Nevertheless, there is a surprising lack of systematic validation experiments in support of this hypothesis. In this study, we investigated to which extent training a scoring function ...