| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Research Abstract |
Machine learning is one of the theories to construct the systems that can learn the data given from outside world like human brains. The algorithms of machine learning are divided into three categories such as supervised learning, unsupervised learning and reinforcement learning. In this research, we have investigated the dynamics of supervised learning and reinforcement learning and proposed some improvements. (1) We have investigated the relation between the singular structure of the parameter space of hidden Markov models and the trajectories of the learning dynamics. (2) We have proposed the reinforcement learning algorithm that can adapt to the changing environments and investigated the learning dynamics.
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