Learning device and learning method
AssigneeRicoh Company, Ltd.
InventorsTakuya TANAKA, Ryosuke KASAHARA
Life of this patent
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Abstract
A learning device is configured to perform learning of a decision tree. The learning device includes a branch score calculator, and a scaling unit. The branch score calculator is configured to calculate a branch score used for determining a branch condition for a node of the decision tree based on a cumulative sum of gradient information corresponding to each value of a feature amount of learning data. The scaling unit is configured to perform scaling on a value related to the cumulative sum used for calculating the branch score by the branch score calculator to fall within a numerical range with which the branch score is capable of being calculated.
Claims13
A learning device configured to perform learning of a decision tree, the learning device comprising:
- a branch score calculator configured to calculate a branch score used for determining a branch condition for a node of the decision tree based on a cumulative sum of gradient information corresponding to each value of a feature amount of learning data;
- and
- a scaling unit configured to perform scaling on a value related to the cumulative sum used for calculating the branch score by the branch score calculator to fall within a numerical range with which the branch score is capable of being calculated.
A learning method for a learning device configured to perform learning of a decision tree, the method comprising:
- calculating a branch score used for determining a branch condition for a node of the decision tree based on a cumulative sum of gradient information corresponding to each value of a feature amount of learning data;
- and
- performing scaling on a value related to the cumulative sum used for calculating the branch score to cause the value to fall within a numerical range with which the branch score is capable of being calculated.
Dependencies are inferred from the claim text.