Now showing items 1-3 of 3

    • Method and system for training a recurrent network 

      Parlos, Alexander G.; Atiya, Amir F. (United States. Patent and Trademark OfficeTexas A&M University. Libraries, 2005-11-08)
      A method for training a recurrent network represented by x(k+1)=f(W x(k)), where W is a weight matrix, x is the output of the network, and K is a time index includes (a) determining the weight matrix at a first time ...
    • Probabilistic boolean networks 

      Shmulevich, Ilya; Dougherty, Edward R.; Zhang, Wei (United States. Patent and Trademark OfficeTexas A&M University. Libraries, 2007-08-14)
      Embodiments of the invention encompass methods for modeling of complex systems, which include, but are not limited to gene regulatory networks, biological systems, and the like. Other embodiments of the invention include ...
    • Quantifying gene relatedness via nonlinear prediction of gene 

      Dougherty, Edward R.; Kim, Seungchan; Bittner, Michael L.; Chen, Yidong (United States. Patent and Trademark OfficeTexas A&M University. Libraries, 2006-02-21)
      Relatedness between genes is quantified by constructing nonlinear models predicting gene expression. Effectiveness of the model is evaluated to provide a measurement of the relatedness of genes associated with the model. ...