US 2003/0233369 A1 · Data classifying device, and active learning method used by data classifying device and active learning program of data classifying device

Abstract

Herein disclosed is a data classifying device whereby support vector machine performs a data classification based on a learning result obtained by performing an active learning method, comprises: a correct answer database adapted to store therein examples and their correct answer classes; a pooling section adapted to pool examples to which correct answer classes are not yet assigned; an SVM learning section adapted to perform learning of the support vector machine by using correct answer examples stored in the correct answer database; an SVM classifying section adapted to store therein the learning result obtained by the SVM learning section and perform the data classification based on the learning result thus stored therein; an active learning-purposed example selecting section adapted to select examples for use in the active learning from the pooling section by using the learning result; and a pooled example increasing section adapted to acquire new examples to which correct answer classes are not yet assigned and pool them in the pooling section such that the number of examples stored in the pooling section is increased. With the data classifying device thus configured, it is possible to reduce time required to improve accuracy in data classifying and to speed up the improvement of the accuracy, thereby providing higher accuracy.

Claims9

Dependent claims

A data classifying device whereby support vector machine performs a data classification based on a learning result obtained by performing an active learning method, comprising:

a correct answer database adapted to store therein examples and correct answer classes to be assigned to the examples;
a pooling section adapted to pool examples to which correct answer classes are not yet assigned;
an SVM learning section adapted to perform learning of the support vector machine by using correct answer examples stored in said correct answer database;
an SVM classifying section adapted to store therein a learning result obtained by said SVM learning section and perform the data classification based on the learning result thus stored therein;
an active learning-purposed example selecting section adapted to select examples for use in the active learning from said pooling section by using the learning result;
and
a pooled example increasing section adapted to acquire new examples to which correct answer classes are not yet assigned and pool them in the pooling section such that the number of examples stored in the pooling section is increased.

4 more elements

Dependencies are inferred from the claim text.

Data classifying device, and active learning method used by data classifying device and active learning program of data classifying device

Life of this patent

Data classifying device, and active learning method used by data classifying device and active learning program of data classifying device

Life of this patent

Abstract

Claims9