Title:
A machine learning device, the machine learning method, and a program
Document Type and Number:
Japanese Patent JP6277818
Kind Code:
B2
Abstract:
A machine learning apparatus (100) including: a feature calculation unit (11) that transforms, into first numerical data sets, training data sets to each of which either one of two values is added; a support vector machine learning unit (21) that learns, based on the first numerical data sets, a criterion for classification of the two values, creating a learning model; a self-organizing map learning unit (22) that projects the first numerical data sets onto a two-dimensional map, the two-dimensional map having blocks and representative data sets, wherein the self-organizing map learning unit (22) causes, first numerical data sets with a short distance from each other to belong to adjacent blocks; a support vector machine classifying unit (25) that classifies, by using the learning model, the blocks and the representative data sets; and a learning model two-dimensionalization unit (31) that creates a two-dimensional learning model representing the results of the classification.
Inventors:
Daichi Hisada
Application Number:
JP2014064173A
Publication Date:
February 14, 2018
Filing Date:
March 26, 2014
Export Citation:
Assignee:
NEC
International Classes:
G06N20/00; G06N20/10; G06T7/00
Domestic Patent References:
| JP2007527266A | ||||
| JP2007323177A | ||||
| JP2009297365A |
Foreign References:
| US20140067299 |
Other References:
Swarnajyoti Patra, et al.,A Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification,IEEE Transactions on Geoscience and Remote Sensing,IEEE,2014年 3月 3日,Vol.52 ,pp.6899-6910
Attorney, Agent or Firm:
Patents corporation Blitas
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