12. A non-transitory machine-readable medium having instructions, stored therein, for a processor, the machine-readable medium comprises: instructions for inputting existing labeled data from an existing classification model of a first domain-specific application; instructions for inputting data labeled for a target application; and instructions for forming a new classification model for use with the target application by using the existing labeled data from the existing classification model and the data labeled for the target application to train the new classification model, the target application being different from the first domain-specific application and in a different domain from the first domain-specific application.
12. A non-transitory machine-readable medium having instructions, stored therein, for a processor, the machine-readable medium comprises: instructions for inputting existing labeled data from an existing classification model of a first domain-specific application; instructions for inputting data labeled for a target application; and instructions for forming a new classification model for use with the target application by using the existing labeled data from the existing classification model and the data labeled for the target application to train the new classification model, the target application being different from the first domain-specific application and in a different domain from the first domain-specific application. 13. The non-transitory machine-readable medium of claim 12 , wherein the instructions for forming a new classification model for use with the target application by using the labeled data for adaptation of an existing classification model comprises: instructions for determining a distance from the existing classification model to the new classification model; and instructions for performing the adaptation of the existing model by using the distance.