Boltzmann Machines with Identified States

スポンサーリンク

概要

• 論文の詳細を見る

• Learning for boltzmann machines deals with each state individually. If given data is categorized, the probabilities have to be distributed to each state, not to each catetory. We propose boltzmann machines identifying the states in the same categories. Boltzmann machines with hidden units are the special cases. Boltzmann learning and em algorithm are effective learning methods for boltzmann machines. We solve boltzmann learning and em algorithm for the proposed models.

• 2008-03-01

著者

• Kobayashi Masaki

  Interdisciplinary Graduate School Of Medicine And Engineering Univ. Of Yamanashi

関連論文

• Boltzmann Machines with Identified States
• Noise Robust Gradient Descent Learning for Complex-Valued Associative Memory

スポンサーリンク