System for supporting user's behavior

Details System for supporting user's behavior System for supporting user's behavior

2006-10-19

2008-12-16

Vincent, David (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

C706S046000, C706S061000

Reexamination Certificate

active

07467120

ABSTRACT:
Provided is a system10which supports a user's behavior by generating a behavioral decision function indicating behavior to be adopted to a certain target. The system10includes: a data acquiring section110which acquires a cost caused as a result of adopting each of a plurality of behaviors to a target as training data for generating the behavioral decision function, the plurality of behaviors having already been adopted to the target; and a function generator120which generates, based on the training data, the behavioral decision function to minimize the expected shortfall of a cost to be obtained as a result of adopting the behavior to the target.

REFERENCES:
Geibel et al., Peter, “Perception and SVM Learning with Generalized Cost Models”, Intelligent Data Analysis, Feb. 2004.
Elkan, “The Foundations of Cost-Sensitive Learning”, Proc. Of 17th Inter. Joint Conference on Artificial Intelligence, pp. 1-6, 2001.
Abe et al., “An Iterative Method for Multi-Class Cost-Insensitive Learning”, pp. 1-9.
Pedro Domingos, “MetaCost: A General Method for Making Classifiers Cost-Sensitive”, pp. 155-164.
Geibel et al., “Perceptron and SVM Learning With Generalized Cost Models”, Feb. 13, 2004, pp. 1-29.
Rockafellar et al., “Optimization of Conditional Value-At-Risk”, Sep. 5, 1999, pp. 1-26.
Zadrozny et al., “Cost-Sensitive Learning by Cost-Proportionate Example Weighting”, pp. 1-8.
Jun-Ya Goto, and Akiko Takeda, Linear decision model based on Conditional Geometric Score, Abstract collection of Spring Meeting for Reading Research Paper by the Operations Research Society of Japan, Mar. 2005.

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