Abstract: Systems and methods interacting with tabletop models are provided herein. A display system includes a tabletop model, including a horizontal display that is configured to display a two-dimensional digital map and a three-dimensional physical model that is configured to overlay the two-dimensional digital map. The display receives a selection of an object from a device of a display system and synchronizes a change to the tabletop model and the three-dimensional digital model that reflects the selection of the object.

Abstract: Systems and methods interacting with a digital map are provided herein. A system includes a display that is configured to display a digital map. The digital map includes a number of targets with which a user can interact and a number of actions that are available for each target. The system is configured to update a table of an individual profile account when the user performs an actions at one of the targets, use a role prediction model to predict a role based on the table of the individual profile account, and update the table of the individual account based on a table of a role profile account associated with the predicted role.

Abstract: Systems and methods interacting with tabletop models using a handheld device are provided herein. A display system includes a tabletop model, including a horizontal display that is configured to display a two-dimensional digital map and a three-dimensional physical model that is configured to overlay the two-dimensional digital map. The display system includes a mobile device including a touchscreen display. The display system transforms a movement on the touchscreen display to a movement of a cursor on the two-dimensional digital map.

Abstract: Systems and methods interacting with a digital map are provided herein. A system includes a display that is configured to display a digital map. The digital map includes a number of targets with which a user can interact and a number of actions that are available for each target. The system is configured to update a table of an individual profile account when the user performs an actions at one of the targets, use a role prediction model to predict a role based on the table of the individual profile account, and update the table of the individual account based on a table of a role profile account associated with the predicted role.

Abstract: Systems and methods interacting with tabletop models using a handheld device are provided herein. A display system includes a tabletop model, including a horizontal display that is configured to display a two-dimensional digital map and a three-dimensional physical model that is configured to overlay the two-dimensional digital map. The display system includes a mobile device including a touchscreen display. The display system transforms a movement on the touchscreen display to a movement of a cursor on the two-dimensional digital map.

Abstract: Systems and methods interacting with tabletop models are provided herein. A display system includes a tabletop model, including a horizontal display that is configured to display a two-dimensional digital map and a three-dimensional physical model that is configured to overlay the two-dimensional digital map. The display receives a selection of an object from a device of a display system and synchronizes a change to the tabletop model and the three-dimensional digital model that reflects the selection of the object.

Abstract: Techniques for performing command processing are described. A system receives, from a device, input data corresponding to a command. The input data may originate as audio data, as text data, or as other data. The system determines NLU processing results corresponding to the input data. The NLU processing results may be associated with multiple speechlets. The system also determines NLU confidences for the NLU processing results for each speechlet. The system sends NLU processing results and an indication to provide potential results to a portion of the multiple speechlets, and receives potential results from the portion of the speechlets. The system also receives indications whether the speechlets need to be re-called if the speechlets are selected to execute with respect to the command. The system ranks the portion of the speechlets based at least in part on the NLU processing results as well as the potential results provided by the portion of the speechlets.

Abstract: Various embodiments relating to partitioning a data set for training machine-learning classifiers based on an output of a globally trained machine-learning classifier are disclosed. In one embodiment, a first machine-learning classifier may be trained on a set of training data to produce a corresponding set of output data. The set of training data may be partitioned into a plurality of subsets based on the set of output data. Each subset may correspond to a different class. A second machine-learning classifier may be trained on the set of training data using a plurality of classes corresponding to the plurality of subsets to produce, for each data object of the set of training data, a probability distribution having for each class a probability that the data object is a member of the class.