Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Metabolism can be regarded as a network of biochemical reactions, connected via their substrates and products. A metabolic pathway is thus a coordinated series of reactions, and i...
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
: We present in this paper a transformation model for structured documents. TransM is a new model that deals with specified documents, where the structure conforms to a predefined ...
Nouhad Amaneddine, Jean Paul Bahsoun, Jean-Paul Bo...
With the growing importance of model-driven development, the ability of transforming models into well-defined semantic domains becomes a key to automated code generation or verifi...