International audienceThe problem of defining a decision rule which takes into account performance constraints and class-selective rejection is formalized in a general framework. In the proposed formulation, the problem is defined using three kinds of criteria. The first is the cost to be minimized, which defines the objective function, the second are the decision options, determined by the admissible assignment classes or subsets of classes, and the third are the performance constraints. The optimal decision rule within the statistical decision theory framework is obtained by solving the stated optimization problem. Two examples are provided to illustrate the formulation and the decision rule is obtained
Which decision rules are the most efficient? Which are the best in terms of maximin or maximax? We s...
<p>Criteria for determining the optimal number of classes (for LC models without covariates).</p
Cahier du LAMSADE n°3The intent of this paper is to develop a conceptual framework for a normative t...
International audienceA formulation for multilabel and performance constraints classification proble...
International audienceA procedure to select a supervised rule for multiclass problem from a labeled ...
International audienceA multiclass learning method which minimizes a loss function is proposed. The ...
The purpose of this paper is to simultaneously optimize decision rules for combinations of elementar...
Binary classifiers are used in many complex classification problems in which the classification resu...
This paper presents some Bayesian theories of simultaneous optimization of decision rules for test-b...
International audienceIn this paper, the problem of binary classification is studied with one or two...
The classification problem consists of assigning subjects to one of several available treatments on ...
Abstract. The possibility of selecting a subset of classes instead of one unique class for assignati...
We address the problem of selecting the best of a set of units based on a criterion variable, when i...
International audienceA multiclass algorithm based on nu-1-SVM which minimizes a loss function is in...
summary:The paper concerns the problem of testing the hypothesis of randomness against a group of re...
Which decision rules are the most efficient? Which are the best in terms of maximin or maximax? We s...
<p>Criteria for determining the optimal number of classes (for LC models without covariates).</p
Cahier du LAMSADE n°3The intent of this paper is to develop a conceptual framework for a normative t...
International audienceA formulation for multilabel and performance constraints classification proble...
International audienceA procedure to select a supervised rule for multiclass problem from a labeled ...
International audienceA multiclass learning method which minimizes a loss function is proposed. The ...
The purpose of this paper is to simultaneously optimize decision rules for combinations of elementar...
Binary classifiers are used in many complex classification problems in which the classification resu...
This paper presents some Bayesian theories of simultaneous optimization of decision rules for test-b...
International audienceIn this paper, the problem of binary classification is studied with one or two...
The classification problem consists of assigning subjects to one of several available treatments on ...
Abstract. The possibility of selecting a subset of classes instead of one unique class for assignati...
We address the problem of selecting the best of a set of units based on a criterion variable, when i...
International audienceA multiclass algorithm based on nu-1-SVM which minimizes a loss function is in...
summary:The paper concerns the problem of testing the hypothesis of randomness against a group of re...
Which decision rules are the most efficient? Which are the best in terms of maximin or maximax? We s...
<p>Criteria for determining the optimal number of classes (for LC models without covariates).</p
Cahier du LAMSADE n°3The intent of this paper is to develop a conceptual framework for a normative t...