This work presents the application of a multistrategy approach to some document processing tasks. The application is implemented in an enhanced version of the incremental learning system INTHELEX. This learning module has been embedded as a learning component in the system architecture of the EU project COLLATE, which deals with the annotation of cultural heritage documents. Indeed, the complex shape of the material handled in the project has suggested that the addition of multistrategy capabilities is needed to improve effectiveness and efficiency of the learning process. Results proving the benefits of these strategies in specific classification tasks are reported in the experimentation presented in this work
This thesis investigates modular reuse of learning resources. In particular, it considers a scenario...
This paper discusses a methodology for multistrategy data analysis based on the application of diver...
International audienceWe present an incremental learning method for document image and zone classifi...
This work presents the application of a multistrategy approach to some document processing tasks. Th...
This work presents the application of a new, enhanced version of the incremental learning system INT...
This work presents a new version of the incremental learning system INTHELEX, whose multistrategy le...
The goal of the research described here is to develop a multistrategy classifier system that can be ...
In this paper, a methodology for document classification and understanding is proposed. It is based ...
This work presents the application of a first-order logic incremental learning system, INTHELEX, to ...
This paper aims at presenting the application of first-order logic machine learning techniques to tw...
This work presents the application of incremental symbolic learning strategies for the automatic ind...
In the last years, the spread of computers and the Internet caused a significant amount of documents...
International audienceInside the DIGIDOC project (ANR-10-CORD-0020)-CONTenus et INTeractions (CONTIN...
INTHELEX is a learning system for the induction of hierarchical theories from examples. It is fully ...
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the a...
This thesis investigates modular reuse of learning resources. In particular, it considers a scenario...
This paper discusses a methodology for multistrategy data analysis based on the application of diver...
International audienceWe present an incremental learning method for document image and zone classifi...
This work presents the application of a multistrategy approach to some document processing tasks. Th...
This work presents the application of a new, enhanced version of the incremental learning system INT...
This work presents a new version of the incremental learning system INTHELEX, whose multistrategy le...
The goal of the research described here is to develop a multistrategy classifier system that can be ...
In this paper, a methodology for document classification and understanding is proposed. It is based ...
This work presents the application of a first-order logic incremental learning system, INTHELEX, to ...
This paper aims at presenting the application of first-order logic machine learning techniques to tw...
This work presents the application of incremental symbolic learning strategies for the automatic ind...
In the last years, the spread of computers and the Internet caused a significant amount of documents...
International audienceInside the DIGIDOC project (ANR-10-CORD-0020)-CONTenus et INTeractions (CONTIN...
INTHELEX is a learning system for the induction of hierarchical theories from examples. It is fully ...
In real-world Digital Libraries, Artificial Intelligence techniques are essential for tackling the a...
This thesis investigates modular reuse of learning resources. In particular, it considers a scenario...
This paper discusses a methodology for multistrategy data analysis based on the application of diver...
International audienceWe present an incremental learning method for document image and zone classifi...