نتایج جستجو برای: linear regression models perform better on unseen data
تعداد نتایج: 9911205 فیلتر نتایج به سال:
The proportional hazard Cox regression models play a key role in analyzing censored survival data. We use penalized methods in high dimensional scenarios to achieve more efficient models. This article reviews the penalized Cox regression for some frequently used penalty functions. Analysis of medical data namely ”mgus2” confirms the penalized Cox regression performs better than the cox regressi...
This paper studies the relative effectiveness of different methods for multilingual model combination and dictionary mapping for recognizing a new unseen target language if training data are limited. We examine the crosslanguage transfer from monolingual and multilingual models to German and Russian language for large vocabulary speech recognition using a dictation database which has been colle...
Background and Objectives: Considering the importance of safety evaluation of fish and seafood from capture to purchase, rapid and nondestructive methods are in urgent need for seafood industry. This study aimed to assess the application of hyperspectral imaging (HSI: 430-1010 nm) for prediction of total volatile basic nitrogen (TVB-N) in Japanese-threadfin bream (Nemipterusjaponicus) fillets, ...
Roof-top mounted solar photovoltaic (PV) systems are becoming an increasingly popular means of incorporating clean energy into the consumption profile of residential users. Electric utilities often allow the inter-connection of such systems to the grid, compensating system owners for electricity production. As the systems grow in number and their contribution to the overall load profile becomes...
Genes account for increasing proportions of variation in cognitive ability across development, but the mechanisms underlying these increases remain unclear. We conducted a meta-analysis of longitudinal behavioral genetic studies spanning infancy to adolescence. We identified relevant data from 16 articles with 11 unique samples containing a total of 11,500 twin and sibling pairs who were all re...
Support Vector Regression (SVR) solves regression problems based on the concept of Support Vector Machine (SVM). In this paper, a new model of SVR with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. Using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...
a robust and reliable quantitative structure-property relationship (qspr) study was established to forecast the melting points (mps) of a diverse and long set including 250 drug-like compounds. based on the calculated descriptors by dragon software package, to detect homogeneities and to split the whole dataset into training and test sets, a principal component analysis (pca) approach was used...
acute myocardial infarction is the most important reason of mortality in iran. more than half of these deaths occur without the patient even reaching to a hospital. there is the evidence that patients with better knowledge of the symptoms of mi will seek help earlier. the purpose of this study is to determine how well a predictive model will perform based solely upon patient-reportable clinical...
. Comparison of Generalized Linear Mixed and Generalized Linear Models in Determining Type II Diabetes Related Factors in Yazd Fallahzadeh H(Ph.D)1,Rahmanian M(Ph.D)2,Emadi M(Ph.D)3,Asadi F(M.Sc)4 1. Professor of Biostatistics, Department of Biostatistics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. 2. Corresponding Author: Graduate student of Biostat...
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