Abstract: Systems, methods and products for determining a consumer-facing price using a demand model that is generated based on historical transactional data. One embodiment comprises a method implemented in a pricing module of an automotive data processing system. Data that identifies a consumer (or consumer group) and a vehicle type are received and the demand model is accessed to generate a payment corresponding to the attributes of the consumer and the attributes of the vehicle type. The demand model may be implemented in a machine learning engine that maintains a set of weights ? used in a predictive demand function. The weights are adjusted by the machine learning engine to minimize a loss function which measures deviation of demand estimated by the predictive demand function from the demand indicated by a set of historical transaction data.

Abstract: Systems, methods and products for determining a consumer-facing price using a demand model that is generated based on historical transactional data. One embodiment comprises a method implemented in a pricing module of an automotive data processing system. Data that identifies a consumer (or consumer group) and a vehicle type are received and the demand model is accessed to generate a payment corresponding to the attributes of the consumer and the attributes of the vehicle type. The demand model may be implemented in a machine learning engine that maintains a set of weights ? used in a predictive demand function. The weights are adjusted by the machine learning engine to minimize a loss function which measures deviation of demand estimated by the predictive demand function from the demand indicated by a set of historical transaction data.

Abstract: Systems, methods and products for determining a consumer-facing price using a demand model that is generated based on historical transactional data. One embodiment comprises a method implemented in a pricing module of an automotive data processing system. Data that identifies a consumer (or consumer group) and a vehicle type are received and the demand model is accessed to generate a payment corresponding to the attributes of the consumer and the attributes of the vehicle type. The demand model may be implemented in a machine learning engine that maintains a set of weights ? used in a predictive demand function. The weights are adjusted by the machine learning engine to minimize a loss function which measures deviation of demand estimated by the predictive demand function from the demand indicated by a set of historical transaction data.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for generating a tiling for a physical placement of a plurality of circuits. The method includes generating a tiling including a plurality of tiles, where each tile identifies a tile geometric area, and a list of one or more of the circuits to be placed in the tile geometric area. The tiling is based on a description of one or more user constraints, where each user constraint identifies a constraint geometric area, and a characteristic of circuits to be placed in the constraint geometric area.

Abstract: Liquid antacid preparations comprising: a) an active acid neutralizing compound selected from the group consisting of calcium-containing compounds, aluminum-containing compounds, magnesium-containing compounds, and mixtures thereof; and b) an antimicrobial adjuvant selected from the group consisting of propylene glycol in an amount greater than 2 weight percent and less than 15 weight percent, glycerin in an amount from about 15 to about 20 weight percent, and combinations of propylene glycol in an amount from about 3 to about 10 weight percent with glycerin in an amount from about 3 to about 10 weight percent based on the total weight of the preparation are provided.

Abstract: The invention relates to heat stable liquid antacid and/or antigas preparations capable of being pasteurized in the temperature range of 60-100° C. comprising one or more acid neutralizing and/or antigas compounds in an aqueous liquid suspension consisting essentially of hydroxyethylcellulose as a suspending agent.

Abstract: Liquid antacid compositions containing a tri- or di-ester buffer have a reduced final product pH providing for a more efficacious preservative system and better tasting product without compromising to acid neutralization capacity of the antacid.