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[КНИГА][B] Handbook of approximation algorithms and metaheuristics
TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
Differences in abundances of cell-signalling proteins in blood reveal novel biomarkers for early detection of clinical Alzheimer's disease
Background In November 2007 a study published in Nature Medicine proposed a simple
test based on the abundance of 18 proteins in blood to predict the onset of clinical symptoms …
test based on the abundance of 18 proteins in blood to predict the onset of clinical symptoms …
Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): a combinatorial optimization approach …
In this sequel to our previous work [Rosso OA, Mendes A, Rostas JA, Hunter M, Moscato P.
Distinguishing childhood absence epilepsy patients from controls by the analysis of their …
Distinguishing childhood absence epilepsy patients from controls by the analysis of their …
Optimasi Neural Network Dengan Algoritma Genetika Untuk Prediksi Hasil Pemilukada
M Badrul - Bina Insani ICT Journal, 2016 - 101.255.92.196
Indonesia merupakan salah satu negara demokratis di dunia ini. Negara Indonesia yang
terdiri dari beberapa kepulauan melahirkan berbagai macam suku dan budaya. Negara …
terdiri dari beberapa kepulauan melahirkan berbagai macam suku dan budaya. Negara …
Genetic signatures for a rodent model of Parkinson's disease using combinatorial optimization methods
This chapter illustrates the use of the combinatorial optimization models presented in
Chapter 19 for the Feature Set selection and Gene Ordering problems to find genetic …
Chapter 19 for the Feature Set selection and Gene Ordering problems to find genetic …
Selection of discriminative genes in microarray experiments using mathematical programming
Microarray technologies allow the measurement of thousands of gene expression levels
simultaneously. With them biologists can have a powerful new tool to analyse the complex …
simultaneously. With them biologists can have a powerful new tool to analyse the complex …
Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches
Three different methodologies have been applied to microarray data from brains of
Alzheimer diagnosed patients and healthy patients taken as control. A clear pattern of …
Alzheimer diagnosed patients and healthy patients taken as control. A clear pattern of …
Novel Biomarkers for Prostate Cancer Revealed by (α,β)-k-Feature Sets
In this chapter we present a method based on the (α, β)-k-feature set problem for identifying
relevant attributes in high-dimensional datasets for classification purposes. We present a …
relevant attributes in high-dimensional datasets for classification purposes. We present a …
A fast meta-heuristic approach for the -feature set problem
The feature selection problem aims to choose a subset of a given set of features that best
represents the whole in a particular aspect, preserving the original semantics of the …
represents the whole in a particular aspect, preserving the original semantics of the …
The (α, β)-k Boolean Signatures of Molecular Toxicity: Microcystin as a Case Study
Abstract Background The (α, β)-k-Feature Set Problem is a combinatorial problem, that has
been proven as alternative to typical methods for reducing the dimensionality of large …
been proven as alternative to typical methods for reducing the dimensionality of large …