System and Method For knowledge transfer and machine learning via dimensionalized proxy features

1:

• What is claimed is a method and system for comparing a representational proxy for a real person, place, thing, concept, or construct within a computer system where such proxy is used to store tag elements for measuring or inferring affinity/nearness, or likelihood, wherein the system is comprised of a means of assigning a computer representation of a person, place, thing, concept or construct to a representation, archetype or proxy of said person, place, thing, concept or construct;
• a means of storing said representation such that it can be either securely and or publicly accessed by any such system that employs or seeks to employ such proxies or archetypes;
• a means of retrieving such proxies and archetypes which are deemed related to a specific feature or set of features within the proxy, archetype, or material represented by the proxy or archetype;
• The method and system of claim 1, further comprised of a means to construct a variety of kernel matrices from the elements and or features.
• 1. The method and system of claim 1, further comprised of a means whereby the archetypes or proxies are indexed or cached to affect rapid retrieval of those archetypes or proxies deemed related.
• 2. The method and system of claim 1, further comprised of a machine learning element that retrieves, evaluates, enhances, and or changes, improves or replaces the original archetype or proxy within the data store.
• 3. The method and system of claim 1 wherein the proxies and or archetypes and or constructs, such as kernels, constructed from these archetypes are, themselves, utilized as features to construct a proxy or archetype.
• 4. The method and system of claim 1 wherein the elements of the system reside across multiple systems that communicate or evaluate proxy or archetypical representations.
• 5. The method and system of claim 1 where the proxy representations are affinitomic archetypes.