Tatsuro Matsumoto

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OBJECTIVES Given time-series data from an unknown target system, one often wants to build a model for the system behind the data and make predictions. If the target system can be assumed to be linear, there are means of modeling and predicting the target system in question. If, however, one cannot assume the system is linear, various linear theories have(More)
Users employing smartphones typically combine multiple applications to perform their tasks. It would be possible to be recommended the appropriate applications by acquiring the contexts of users who perform such tasks. And the contexts are composed by the relationship of applications used in the tasks. We present an algorithm that extracts the relationship(More)
In order to reduce people's workload of looking for valuable information from a large amount of available information, recommendation systems, task management systems, and so on are attracting considerable attention. Such systems are expected to allow easy access to information under the current work context. In the development of these systems, how to(More)
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