Add to ORKGWe consider the problem of the classification of an object from the observation after its numerical characteristic in case of three prescribed classes. We also study a problem on finding and asymptotic behaviour of threshold-based classification rules constructed from a sample from a mixture with varying concentrations.We consider the problem of the classification of an object from the observation after its numerical characteristic in case of three prescribed classes. We also study a problem on finding and asymptotic behaviour of threshold-based classification rules constructed from a sample from a mixture with varying concentrations
International audienceIn the context of finite mixture models one considers the problem of classifyi...
The inference of the threshold point in threshold models critically depends on the assumption that t...
In this paper, we study a two-category classification problem. We indicate the cate-gories by labels...
We consider the problem of the classification of an object from the observation after its numerical ...
Abstract. Suppose we have n i.i.d. copies {(Xi, Yi), i = 1,..., n} of an example (X,Y), where X ∈ X ...
In this paper, we study a two-category classification problem. We indicate the categories by labels ...
In this paper, we study a two-category classification problem. We indicate the categories by labels ...
In statistical pattern recognition, problems involve distinguishing of various concepts or classes, ...
In statistical pattern recognition, problems involve distinguishing of various concepts or classes, ...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
In this paper, we study a two-category classification problem. We indicate the categories by labels ...
In this paper, we empirically analyze two methods for computing the threshold in Fisher's class...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
The inference of the threshold point in threshold models critically depends on the assumption that t...
In this paper, we study a two-category classification problem. We indicate the cate-gories by labels...
We consider the problem of the classification of an object from the observation after its numerical ...
Abstract. Suppose we have n i.i.d. copies {(Xi, Yi), i = 1,..., n} of an example (X,Y), where X ∈ X ...
In this paper, we study a two-category classification problem. We indicate the categories by labels ...
In this paper, we study a two-category classification problem. We indicate the categories by labels ...
In statistical pattern recognition, problems involve distinguishing of various concepts or classes, ...
In statistical pattern recognition, problems involve distinguishing of various concepts or classes, ...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
In this paper, we study a two-category classification problem. We indicate the categories by labels ...
In this paper, we empirically analyze two methods for computing the threshold in Fisher's class...
International audienceIn the context of finite mixture models one considers the problem of classifyi...
The inference of the threshold point in threshold models critically depends on the assumption that t...
In this paper, we study a two-category classification problem. We indicate the cate-gories by labels...