Method and program structure for machine learning
AssigneeGeorges Harik
InventorGeorges Harik
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Abstract
A method using a recognizer program structure is used in a program that is learned over training data. The method includes (a) for each vector in an input tuple of vectors, (i) mapping the vector to one of a domain index; (ii) using the domain index to select one or more corresponding linear transformations; (iii) applying one or more of the selected linear transformations on the vector to obtain a resulting vector in a first intermediate space; and (iv) applying a predetermined function on each element of the resulting vector to obtain an output vector in a second intermediate space; and (b) mapping the resulting vectors of the second intermediate space by linear transformation to obtain an output tuple of vectors in RN space.
Claims10
In a recognizer program structure of a program that is learned over training data, the recognizer program structure receiving an input tuple of vectors in RN space, N being an integer, a method comprising:
- for each vector in the input tuple of vectors:
- mapping the vector to one of a domain index;
- using the domain index to select a corresponding linear transformation;
- applying the selected linear transformation on the vector to obtain a resulting vector in a first intermediate space;
- and
- applying a predetermined function on each element of the resulting vector to obtain an output vector in a second intermediate space;
- and
- mapping the resulting vectors of the second intermediate space by linear transformation to obtain an output tuple of vectors in RN space.
Dependencies are inferred from the claim text.