Add to ORKGParameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collections of squares, rectangles, polytopes, and so on, can readily be defined by means of linear systems with parameters. In this paper, we investigate the problem of learning a parameterized linear system whose class of polyhedra includes a given set of example polyhedral sets and it is minimal
Abstract Necessary and sufficient conditions are given for an in-equality vz equality involved in a ...
International audienceThe polyhedral model mixes recurrence equations over polyhedral domains and af...
Positive linear systems are frequently used as mathematical models in research areas like biology an...
Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collection...
Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collection...
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existin...
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existin...
Extending linear constraints by admitting parameters allows for more abstract problem modeling and r...
A system of linear inequality and equality constraints determines a convex polyhedral set of feasibl...
In the context of learning theory many efforts have been devoted to developing classification algori...
We study the problem of binary classification from the point of view of learning convex polyhedra in...
AbstractPositive linear systems are frequently used as mathematical models in research areas like bi...
In this paper we formulate necessary and sufficient conditions for an arbitrary polyhedral set to be...
Motivated by the successful application of mathematical programming techniques to difficult machine ...
A mathematical model based on polyhedra (the so-called “polyhedron model”) serves as a foundation fo...
Abstract Necessary and sufficient conditions are given for an in-equality vz equality involved in a ...
International audienceThe polyhedral model mixes recurrence equations over polyhedral domains and af...
Positive linear systems are frequently used as mathematical models in research areas like biology an...
Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collection...
Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collection...
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existin...
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existin...
Extending linear constraints by admitting parameters allows for more abstract problem modeling and r...
A system of linear inequality and equality constraints determines a convex polyhedral set of feasibl...
In the context of learning theory many efforts have been devoted to developing classification algori...
We study the problem of binary classification from the point of view of learning convex polyhedra in...
AbstractPositive linear systems are frequently used as mathematical models in research areas like bi...
In this paper we formulate necessary and sufficient conditions for an arbitrary polyhedral set to be...
Motivated by the successful application of mathematical programming techniques to difficult machine ...
A mathematical model based on polyhedra (the so-called “polyhedron model”) serves as a foundation fo...
Abstract Necessary and sufficient conditions are given for an in-equality vz equality involved in a ...
International audienceThe polyhedral model mixes recurrence equations over polyhedral domains and af...
Positive linear systems are frequently used as mathematical models in research areas like biology an...