Abstract: Methods for improving the prediction accuracy for an ensemble machine learning model are described. In some instances, the methods comprise: (i) receiving data characterizing levels of trust in one or more machine learning models that form the ensemble machine learning model; (ii) calculating a prediction error estimate for each of the one or more machine learning models based on a trust score for that machine learning model and relative weights calculated for the data points in a training data set used to train that machine learning model; (iii) calculating a normalized weight for each of the one or more machine learning models using the prediction error estimate calculated for each; and (iv) adjusting an output prediction equation for the ensemble machine learning model, where the adjustment is based, at least in part, on the normalized weights calculated in for each of the one or more machine learning models.

Abstract: Methods, systems, and articles of manufacture of the present invention may involve a database for facilitating solution development or training. The database may comprise a scenario entity associated with at least one critical event, at least one of a work scope entity and a process entity associated with the scenario entity, and a core task entity associated with the at least one of the work scope entity and the process entity. The core task entity may correspond to at least one core task that facilitates solution development for the at least one critical event.

Abstract: Methods and systems in accordance with the present invention perform role analysis to assist organizations with the identification of emerging technical roles related to current and future business requirements. In one implementation, methods and systems in accordance with the present invention identify roles of an organization and map the identified roles to appropriate training so that personnel may efficiently develop skills needed to perform the identified roles. Since job roles vary worldwide with respect to responsibilities even within similar job titles, role analysis helps standardize the roles. While within a given job title there may be considerable variance, the various job roles hold in common certain technical “core tasks.” Role analysis methods and systems in accordance with the present invention evaluate and document the common core tasks that are needed to fulfill business requirements for an organization.

Abstract: A combination construction board game and advertising medium which includes a board having a first series of spaces over which playing pieces are moved to acquire financing and to make selections with respect to housing plans and types of construction which are selected and are purchased using a first set of cards and a second series of spaces where players pay off construction loans and furnish the homes being constructed with amenities selected from a second set of cards which designate a variety of fixtures, furniture and/or home improvements or amenities and wherein at least some of the cards displaying amenities carry advertising of the actual manufacturer of the product or service.