Leon Bobrowski
YOU?
Author Swipe
View article: Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study
Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study Open
View article: Classification model with collinear grouping of features
Classification model with collinear grouping of features Open
Pattern recognition procedures operate on data represented as sets of multidimensional feature vectors. A small sample of data appears when the dimension of the feature vectors (number of features) is much larger than the number of feature…
View article: Correction to: Separating gene clustering in the rare mucopolysaccharidosis disease
Correction to: Separating gene clustering in the rare mucopolysaccharidosis disease Open
View article: Stepwise Inversion of Large Matrices with the Gauss-Jordan Vector Transformation
Stepwise Inversion of Large Matrices with the Gauss-Jordan Vector Transformation Open
Data mining methods often include matrix inversion tasks. Big data mining requires fast and accurate inversion of high-dimensional arrays. The presented work describes the concept of stepwise matrix inversion using the basis exchange algor…
View article: Computing on Vertices in Data Mining
Computing on Vertices in Data Mining Open
The main challenges in data mining are related to large, multi-dimensional data sets. There is a need to develop algorithms that are precise and efficient enough to deal with big data problems. The Simplex algorithm from linear programming…
View article: Basis exchange and learning algorithms for extracting collinear patterns
Basis exchange and learning algorithms for extracting collinear patterns Open
Understanding large data sets is one of the most important and challenging problems in the modern days. Exploration of genetic data sets composed of high dimensional feature vectors can be treated as a leading example in this context. A be…
View article: Phenotypic features of vascular calcification in chronic kidney disease
Phenotypic features of vascular calcification in chronic kidney disease Open
Background Patients with chronic kidney disease stage 5 (CKD5) are predisposed to vascular calcification (VC), but the combined effect of factors associated with VC was sparsely investigated. We applied the relaxed linear separability (RLS…
View article: Flat Patterns Extraction with Collinearity Models
Flat Patterns Extraction with Collinearity Models Open
The term collinear (flat) pattern means in this article, a set of a large number of feature vectors located on (or near) a plane in multidimensional feature space.Flat patterns extracted from large data set can provide a basis for modeling…
View article: Basis exchange and learning algorithms for extracting collinear patterns
Basis exchange and learning algorithms for extracting collinear patterns Open
Understanding large data sets is one of the most important and challenging problem in modern days. Exploration of genetic data sets composed of high-dimensional feature vectors can be treated as a leading example in this context. A better …
View article: TO024COMBINATION OF GENOTYPE AND PHENOTYPE FEATURES AS PREDICTORS OF INFLAMMATION, CARDIOVASCULAR DISEASE AND PROTEIN ENERGY WASTING IN PATIENTS WITH CHRONIC KIDNEY DISEASES
TO024COMBINATION OF GENOTYPE AND PHENOTYPE FEATURES AS PREDICTORS OF INFLAMMATION, CARDIOVASCULAR DISEASE AND PROTEIN ENERGY WASTING IN PATIENTS WITH CHRONIC KIDNEY DISEASES Open
between IDWG and mortality were non-linear (P non-linearity <0.001), and that the mortality increased when IDWG exceeded 6% for patients with sAlb 3.8 g/dL; in contrast, for patients with sAlb <3.8 g/dL, the mortality increased when IDWG w…
View article: Eigenvalue Problem with the Basis Exchange Algorithm
Eigenvalue Problem with the Basis Exchange Algorithm Open
View article: Genotypic and phenotypic predictors of inflammation in patients with chronic kidney disease
Genotypic and phenotypic predictors of inflammation in patients with chronic kidney disease Open
These results indicate a larger involvement of hereditary factors in inflammation than might have been expected and suggest that inclusion of genotype features in risk assessment studies is critical. The RLS model demonstrates that inflamm…
View article: Linearizing layers of radial binary classifiers with movable centers
Linearizing layers of radial binary classifiers with movable centers Open
Ranked layers of binary classifiers are used for the linearization of learning sets composed of multivariate feature vectors. After transformation by ranked layer, each learning set can be separated by a hyperplane from the sum of other le…