1. A method, comprising: receiving network data at a Learning Machine (LM) in a network; determining whether the LM recognizes the received network data based on information available to the LM; and when the LM fails to recognize the received network data: identifying a user from a list of users on a central management node to request input from according to level and area of expertise of the user, establishing an on-the-fly tunnel to the central management node to request input from the identified user to, at least initially, recognize and create classes of values for the received network data, sending a request for the input from the user relating to the unrecognized network data to the central management node via the established tunnel, and receiving the input from the central management node in response to the request, wherein the received information assists the LM in recognizing and classifying the unrecognized network data.