Apparatus and methods for generating data structures to represent and compress data profiles

A method, comprising:

• calculating, via a processor, a plurality of weights, each weight from the plurality of weights being uniquely associated with a stimulus-response pair from a plurality of stimulus-response pairs;
• retrieving, via the processor, a plurality of ranges of inclination values (“RIs”), each RI from the plurality of RIs being uniquely associated with a response from a plurality of responses and a distribution type from a plurality of distribution types, each distribution type from the plurality of distribution types being associated with a stimulus from a plurality of stimuli;
• compiling, via the processor, a compressed multidimensional data profile based on the plurality of weights, the plurality of distribution types, and the plurality of ranges of inclination values;
• and
• in response to receiving, at the processor, a stimulus-response signal, modifying at least one RI from the plurality of RIs according to:
• RI1(X,I)=RI0(X,I)(+)SD(X,I),
• where RI0(X,I) is a current leaning distribution, RI1(X,I) is a modified leaning distribution, SD(X,I) is a leaning distribution of the stimulus-response signal, X is a vector representing a range of values of a dimension, I is an identifier of an individual, and (+) represents evidence aggregation.

A method, comprising:

• retrieving, via a processor, a plurality of distribution types, each distribution type from the plurality of distribution types being uniquely associated with a stimulus from a plurality of stimuli;
• retrieving, via the processor, a plurality of ranges of inclination values (“RIs”), each RI from the plurality of RIs being uniquely associated with a response from a plurality of responses and a distribution type from the plurality of distribution types, each RI from the plurality of RIs defined as:
• RI={{wm,incm},{xm,i] for i=1,10/incm},
• where wm=a weight from a plurality of weights associated with the stimulus-response data, incm=an increment, and xm,i=a value in a range of inclination values from a set of ranges of inclination values;
• and
• defining, via the processor, a compressed multidimensional data profile based on a plurality of weights, the plurality of distribution types, and the plurality of ranges of inclination values.