31. A non-transitory processor-readable storage medium comprising processor-readable instructions configured to cause a processor to: receive, using a classifier implemented in one or more integrated circuits of a mobile device, sensor data from at least one data source associated with a mobile device, the at least one data source comprising one or more sensors of the mobile device; determine, using the classifier implemented in the one or more integrated circuits, a first context class for the received sensor data, the first context class corresponding to a context state indicated by the received sensor data; determine, using the classifier implemented in the one or more integrated circuits, that a confidence value associated with the determination of the first context class is below a threshold value; and create, using the classifier implemented in the one or more integrated circuits, a fusion class for the received sensor data at least in part by fusing the first context class for the received sensor data and at least a second context class for the received sensor data, the at least the second context class being different from the first context class, wherein the fusion class semantically encompasses the first context class and the at least the second context class and further wherein the fusion class is broader than each of the first context class and the at least the second context class; substitute, using the classifier implemented in the one or more integrated circuits, the fusion class for the first context class; and output, using the classifier implemented in the one or more integrated circuits, the fusion class as an inferred context for the mobile device.
34. The storage medium of claim 31 wherein the determination of the first context class is an initial classification of the received sensor data.