Invention Grant
- Patent Title: Configuring and optimizing computational structure for a machine learning application using a tuple of vectors
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Application No.: US14203306Application Date: 2014-03-10
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Publication No.: US09600777B2Publication Date: 2017-03-21
- Inventor: Georges Harik
- Applicant: Georges Harik
- Agency: VLP Law Group LLP
- Agent Edward Kwok
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N99/00 ; G06F17/27

Abstract:
A method provides program structures for constructing a program that is learned over training data. In one example, two specific program structures are provided in which the first program structure transforms each vector in an input tuple of vectors to provide an output tuple of vectors, and the second program structure operates on an input tuple of vectors to provide an output tuple of vectors by applying one or more transformations that each involves two or more vectors in the input tuple. The transformations of the first and second program structures may be linear transformations. The program may alternatively execute the first program structure and the second program structure in any suitable order a number of times, beginning with operating one of the program structures on an initial tuple of vectors. The vectors may each consist of an ordered set of real numbers.
Public/Granted literature
- US20140258206A1 METHOD AND PROGRAM STRUCTURE FOR MACHINE LEARNING Public/Granted day:2014-09-11
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