Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
This paper highlights the interest of a language model in increasing the performances of on-line handwriting recognition systems. Models based on statistical approaches, trained o...
Freddy Perraud, Christian Viard-Gaudin, Emmanuel M...
The paper proposes a Distributed Open Semantic Elaboration platform based on a modular multilingual enabled architecture, which includes ontology, annotations, lexical entities an...
Abstract— This paper presents LIVE, a complete DBMS designed for applications with many stored derived relations, and with a need for simple versioning capabilities when base dat...
Dynamic program slicing is an effective technique for narrowing the errors to the relevant parts of a program when debugging. Given a slicing criterion, the dynamic slice contains...