Add to ORKGWe propose a distance measure to compare objects that have heterogeneous sets of characteristics, such as encountered in, for example, medical diagnosis and genetic programming
A single-valued neutrosophic set is one of the advanced fuzzy sets that is capable of handling compl...
This paper proposes a generalized distance measure and its similarity measures between single valued...
International audienceThis paper revisits past works on fitness distance correlation (FDC) in relati...
We propose a distance measure to compare objects that have heterogeneous sets of characteristics, su...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate m...
Histograms of pairwise Hamming distances among samples. In all panes, the x-axis displays the distan...
We propose and discuss distance measures to compare objects that have heterogeneous sets of characte...
In this paper, we introduce a new, previously unknown, distance (i.e., a new metric) in a set whose ...
Many pattern recognition and machine learning approaches employ a distance metric on patterns, or a ...
The Hausdorff distance is a widely used tool to measure the distance between different sets. For the...
Defining a distance measure over the individuals in the population of an Evolutionary Algorithm can ...
This paper presents a genotype-level distance metric for Genetic Programming (GP) based on the symme...
We construct a new family of normalised metrics for measuring the dissimilarity of finite sets in te...
3noDistances that are bound to (or consistent with) genetic operators are measures that quantify the...
A distance on a set is a comparative function. The smaller the distance between two elements of that...
A single-valued neutrosophic set is one of the advanced fuzzy sets that is capable of handling compl...
This paper proposes a generalized distance measure and its similarity measures between single valued...
International audienceThis paper revisits past works on fitness distance correlation (FDC) in relati...
We propose a distance measure to compare objects that have heterogeneous sets of characteristics, su...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate m...
Histograms of pairwise Hamming distances among samples. In all panes, the x-axis displays the distan...
We propose and discuss distance measures to compare objects that have heterogeneous sets of characte...
In this paper, we introduce a new, previously unknown, distance (i.e., a new metric) in a set whose ...
Many pattern recognition and machine learning approaches employ a distance metric on patterns, or a ...
The Hausdorff distance is a widely used tool to measure the distance between different sets. For the...
Defining a distance measure over the individuals in the population of an Evolutionary Algorithm can ...
This paper presents a genotype-level distance metric for Genetic Programming (GP) based on the symme...
We construct a new family of normalised metrics for measuring the dissimilarity of finite sets in te...
3noDistances that are bound to (or consistent with) genetic operators are measures that quantify the...
A distance on a set is a comparative function. The smaller the distance between two elements of that...
A single-valued neutrosophic set is one of the advanced fuzzy sets that is capable of handling compl...
This paper proposes a generalized distance measure and its similarity measures between single valued...
International audienceThis paper revisits past works on fitness distance correlation (FDC) in relati...