Patent application number | Description | Published |
20110016067 | PROBABILISTIC DECISION MAKING SYSTEM AND METHODS OF USE - Embodiments of this invention comprise modeling a subject's state and the influence of training scenarios, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. The POMDP is well suited to decision-theoretic planning under uncertainty. Utilizing this model and the resulting training policy with real world subjects creates a surprisingly effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy. POMDP provides a more valid representation of trainee state and training effects, thus it is capable of producing more valid recommendations concerning how to structure training to subjects. | 01-20-2011 |
20140195475 | PROBABILISTIC DECISION MAKING SYSTEM AND METHODS OF USE - Embodiments of this invention comprise modeling a subject's state and the influence of training treatments, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. Utilizing this model and the resulting training policy with subjects creates an effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy. | 07-10-2014 |
20150049634 | SYSTEMS AND METHODS FOR NETWORK PATTERN MATCHING - Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure. | 02-19-2015 |
Patent application number | Description | Published |
20090004251 | Bacteriocins and Novel Bacterial Strains - Novel bacteriocins and/or the novel lactic acid-producing strains are used for at least reducing the levels of colonization by at least one target bacteria in animals, especially poultry. | 01-01-2009 |
20090068722 | Bacteriocins and Novel Bacterial Strains - Novel bacteriocins produced by novel bacterial strains are used for at least reducing the levels of colonization by at least one target bacteria in animals, especially poultry. | 03-12-2009 |
20100240577 | Bacteriocins and Novel Bacterial Strains - Novel bacteriocins produced by novel bacterial strains are used for at least reducing the levels of colonization by at least one target bacteria in animals, especially poultry. | 09-23-2010 |
20100331241 | Bacteriocins and Novel Bacterial Strains - Novel bacteriocins and/or the novel lactic acid-producing strains are used for at least reducing the levels of colonization by at least one target bacteria in animals, especially poultry. | 12-30-2010 |
20110245151 | Bacteriocins and Novel Bacterial Strains - Novel bacteriocins produced by novel bacterial strains are used for at least reducing the levels of colonization by at least one target bacteria in animals, especially poultry. | 10-06-2011 |
20130177663 | Bacteriocins and Novel Bacterial Strains - Novel bacteriocins produced by novel bacterial strains are used for at least reducing the levels of colonization by at least one target bacteria in animals, especially poultry. | 07-11-2013 |