Add to ORKGDottorato di ricerca in informatica. Coordinatore Bruno Apolloni, advisor David HelmboldConsiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 Rome; Biblioteca Nazionale Centrale - P.za Cavalleggeri, 1, Florence / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
This thesis focuses on the binary classification problem with training data under both classes. We f...
A new incremental learning algorithm for classification tasks, called NetLines, well adapted for bot...
Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle Rich...
Abstract. A process, based on argumentation theory, is described for classifying very noisy data. Mo...
The training objectives of the learning object are: 1) To interpret linear classifiers in the binary...
In this paper we propose a general framework to study the generalization properties of binary classi...
In this paper, we investigate the basic properties of binary classification with a pseudo model base...
International audienceIn this paper we propose a general framework to study the generalization prope...
Purpose of this work is to show that the Particle Swarm Optimization Algorithm may improve the resul...
In this paper, we theoretically study the problem of binary classification in the presence of random...
In this paper, we theoretically study the problem of binary classification in the presence of random...
This work deals with the problem of producing a fast and accurate binary classification of data reco...
This dissertation develops and analyzes active learning algorithms for binary classification problem...
When we apply binary classification to multi-class classification for text classification, we use th...
The goal of binary classification is to train a model that can distinguish between examples belongin...
This thesis focuses on the binary classification problem with training data under both classes. We f...
A new incremental learning algorithm for classification tasks, called NetLines, well adapted for bot...
Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle Rich...
Abstract. A process, based on argumentation theory, is described for classifying very noisy data. Mo...
The training objectives of the learning object are: 1) To interpret linear classifiers in the binary...
In this paper we propose a general framework to study the generalization properties of binary classi...
In this paper, we investigate the basic properties of binary classification with a pseudo model base...
International audienceIn this paper we propose a general framework to study the generalization prope...
Purpose of this work is to show that the Particle Swarm Optimization Algorithm may improve the resul...
In this paper, we theoretically study the problem of binary classification in the presence of random...
In this paper, we theoretically study the problem of binary classification in the presence of random...
This work deals with the problem of producing a fast and accurate binary classification of data reco...
This dissertation develops and analyzes active learning algorithms for binary classification problem...
When we apply binary classification to multi-class classification for text classification, we use th...
The goal of binary classification is to train a model that can distinguish between examples belongin...
This thesis focuses on the binary classification problem with training data under both classes. We f...
A new incremental learning algorithm for classification tasks, called NetLines, well adapted for bot...
Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle Rich...