Abstract: In one aspect, a computerized method for generation of datasets for machine learning models is used to determine a geo-location-based LifeScore. The method includes the step of implementing a machine learning modeling process to combine a healthcare attribute variable as an outcome or target variable as a function of lifestyle behavioral attributes, socio-economic, demographic, healthcare provisional, socio-networking, physical-environmental and other locality specific feature variables to generate a life outcome model of a locality. The method includes the step of updating the life outcome model based on a combination of location specific mortality, life expectancy, self assessed poor health variable value, a poor physical health days variable value, a frequent physical distress variable value. The method includes the step of using a set of socio-economic wellbeing principal components on the independent, driving side of features to update the life outcome model.

Abstract: A computerized method for natural language generation and managing a parsimonious question generator includes the step of sorting all counties in the United States from a high to low mortality rate by each cause of death for each age group and each gender to generate a set of sorted tables. For a specified subject matter and with a natural language autonomous agent, the method generates a set of parsimonious questions. The set of parsimonious questions are based on a county, an age group, and a gender of an individual designated to answer the set of parsimonious questions. The method sorts the set of parsimonious questions in descending order of importance customized to the individual as described by age, gender, and location. With a natural language generating autonomous agent, the method asks the individual a subset of the set of the parsimonious questions in the optimized order. The method detects that a statistical threshold has been achieved.

Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data.

Abstract: A computer implemented method for generating a layout for a set of transistors on a semiconductor chip. The method comprises the step of folding transistors of the set whose sizes exceed a predetermined maximum size. Then a list of implicitly enumerated diffusion sharing arrangements of the transistors of the set is created. The method also comprises the step of choosing an arrangement from the list that uses the least horizontal space on the chip and generating a layout of the set of transistors on the chip according to the chosen arrangement. Embodiments of the invention generate diffusion sharing arrangements that are unique with respect to transistor folds, transistor orientations, and transistor fold interlacing arrangements.