Method for supervised machine learning
First Claim
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1. A method for the processing of grouped data so as to assign a new sample to one of the provided groups using the specified description (see mathematics equations, example computer listing and description) which provides an easy-to-use solution to the supervised learning problem.
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Abstract
A method for solving the supervised machine learning problem. A supervised machine learning algorithm is provided with training examples and is capable of classifying new measurements as belonging to one of the groups it was trained on. The proposed supervised learning technique has a single parameter controlling the test'"'"'s bias in favour of one of the groups it was trained on. The technique can be used to solve a wide array of problems.
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1 Claim
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1. A method for the processing of grouped data so as to assign a new sample to one of the provided groups using the specified description (see mathematics equations, example computer listing and description) which provides an easy-to-use solution to the supervised learning problem.
Specification
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Current AssigneeJacob Levman
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Original AssigneeJacob Levman
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InventorsLevman, Jacob
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Application NumberUS14/158,841Publication NumberTime in Patent OfficeDaysField of SearchUS Class Current1/1CPC Class CodesG06N 20/00 Machine learningG16H 50/20 for computer-aided diagnosi...G16Z 99/00 Subject matter not provided...
