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Unification of Information Maximization and Minimization

Neural Information Processing Systems

In the present paper, we propose a method to unify information maximization and minimization in hidden units. The information maximization and minimization are performed on two different levels: collective and individual level. Thus, two kinds of information: collective and individual information are defined. By maximizing collective information and by minimizing individual information, simple networks can be generated in terms of the number of connections and the number of hidden units. Obtained networks are expected to give better generalization and improved interpretation of internal representations.


Unification of Information Maximization and Minimization

Neural Information Processing Systems

In the present paper, we propose a method to unify information maximization and minimization in hidden units. The information maximization and minimization are performed on two different levels: collective and individual level. Thus, two kinds of information: collective and individual information are defined. By maximizing collective information and by minimizing individual information, simple networks can be generated in terms of the number of connections and the number of hidden units. Obtained networks are expected to give better generalization and improved interpretation of internal representations.


Election Official Says GOP Mailer Contains Bad Information

U.S. News

The RNC mailer is an absentee ballot application and includes the erroneous information that ballots will be accepted if they are postmarked the day before Election Day and received no later than 10 days after the election.