Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.

Abstract: A method for predicting an estimated wait time includes receiving a pending support request from a user. The pending support request is associated with a plurality of high-level features that include a number of active support agents, a number of available support agents, and a queue depth. The method also includes predicting an estimated wait time for the user of the pending support request using a wait time predictor model configured to receive the plurality of high-level features as feature inputs. The wait time predictor model is trained on a corpus of training support requests that include corresponding high-level features and a corresponding actual wait time. The method also includes providing the estimated wait time to the user that indicates an estimated duration of time until the pending support request is answered.

Abstract: A system for treating high temperature produced water includes an electrocoagulation unit, a membrane distillation unit in communication with the outlet of the electrocoagulation unit having a hydrophobic membrane with a feed side for receiving the produced water stream and a product side for receiving a deionized water stream. A heat recovery heat exchanger is in communication with the membrane distillation unit for receiving two streams, one from each side of the hydrophobic membrane, such that heat is exchanged between the two streams. A line leaving the heat exchanger returns a heated stream from the heat exchanger to a location in a line upstream of the membrane distillation unit. A brine tank in communication with the membrane distillation unit receives a portion of a stream from the membrane product side and contains a concentrated brine solution containing the portion of the stream from the membrane product side and sodium chloride.

Abstract: A system for treating high temperature produced water includes an electrocoagulation unit, a membrane distillation unit in communication with the outlet of the electrocoagulation unit having a hydrophobic membrane with a feed side for receiving the produced water stream and a product side for receiving a deionized water stream. A heat recovery heat exchanger is in communication with the membrane distillation unit for receiving two streams, one from each side of the hydrophobic membrane, such that heat is exchanged between the two streams. A line leaving the heat exchanger returns a heated stream from the heat exchanger to a location in a line upstream of the membrane distillation unit. A brine tank in communication with the membrane distillation unit receives a portion of a stream from the membrane product side and contains a concentrated brine solution containing the portion of the stream from the membrane product side and sodium chloride.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a notification of an ad space, the ad space being for presentation in a user interface of an application executing on a client device, sending, to the client device, instructions configured to be executed by the client device for determining view-ability data of the ad space, the view-ability data comprising whether the ad space is within a viewport of the user interface, receiving, from the client device, the view-ability data as determined by the instructions at a first time instance, calculating a predicted view-ability that the ad space is positioned within the viewport at a second time instance after the first time instance, and sending, to a plurality of bidders, a bid request for bidding on an auction of the ad space, the bid request comprising the predicted view-ability.

Abstract: The present invention provides a reliable communication protocol that provides multicasting of digital messages on an interprocessor link coupling together a plurality of processors of a load control system. Preferably, the load control system includes a plurality of sub-systems, with a number of the processors in each sub-system. The processors are each characterized by a unique individual address, while all of the processors of a single sub-system are characterized by an identical multicast address. The processors re-transmit digital messages on the communication link if a target address of the digital message is equal to the multicast address. The processors determine if acknowledgement messages are received from each of the processors from which acknowledgement messages were expected during a predetermined amount of time after transmitting an initial digital message, and transmit a retry message in response to determining that the acknowledgement messages were not received.