ifs.org.uk

Binary classification with the maximum score model and linear programming

This paper presents a computationally efficient method for binary classification using Manski's (1975,1985) maximum score model when covariates are discretely distributed and parameters are partially ...
IEEE

On the Difficulty to Beat the First Linear Programming Bound for Binary Codes

Abstract: The first linear programming bound is the best known asymptotic upper bound for binary codes, for a certain subrange of distances. Starting from the work of Friedman and Tillich (2005), ...
Scientific Research Publishing

Fortnow, F. (2009) The Status of the P versus NP Problem. Communications of the ACM, 52, 78-86.

ABSTRACT: The paper presents a technique for solving the binary linear programming model in polynomial time. The general binary linear programming problem is transformed into a convex quadratic ...
IEEE

T. Bigler

Feasible Solution,Test Instances,Absolute Difference,Action Execution,Additional Constraints,Assignment Problem,Average Change,Average Workload,Basic Formulation,Beta ...
Nature

Guidance for the utility of linear models in meta-analysis of genetic association studies of binary phenotypes

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...
GitHub

Searching Algorithms: Linear Search and Binary Search

In this project, I have implemented two fundamental searching algorithms: Linear Search and Binary Search. These algorithms are essential techniques for locating a specific value in a dataset, and ...