This paper presents the rationale, objectives and advances of an on-going project (the DesPho-APaDy project funded by the French National Agency of Research) which aims to provide...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Mobile phones, with their increasing processing power and memory, are enabling a diversity of tasks. The traditional text entry method using keypad is falling short in numerous way...
Santosh Basapur, Shuang Xu, Mark Ahlenius, Young S...
The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building ...
Sonja E. Bosch, Laurette Pretorius, Kholisa Podile...
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...