Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Recent work on planning in incomplete domains focuses on constructing plans that succeed despite incomplete knowledge of action preconditions and effects. As planning models becom...
One main challenge in building interpreters for hand-drawn sketches is the task of parsing a sketch to locate the individual symbols. Many existing pen-based systems avoid this pr...
Leslie Gennari, Levent Burak Kara, Thomas F. Staho...
The present work investigates the problem of determining a learning path inside a suitable domain ontology. The proposed approach enables the user of a web learning application to ...
Roberto Pirrone, Massimo Cossentino, Giovanni Pila...
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...