Algebraic Bayesian networks secondary structure analysis features
نویسندگان
چکیده
منابع مشابه
Structure Learning in Bayesian Networks Using Asexual Reproduction Optimization
A new structure learning approach for Bayesian networks (BNs) based on asexual reproduction optimization (ARO) is proposed in this letter. ARO can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. In ARO, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survi...
متن کاملAlgebraic geometry of Bayesian networks
We study the algebraic varieties defined by the conditional independence statements of Bayesian networks. A complete algebraic classification is given for Bayesian networks on at most five random variables. Hidden variables are related to the geometry of higher secant varieties.
متن کاملAlgebraic Encoding and Protein Secondary Structure Prediction
In order to compare orthogonal encoding, five bye encoding, codon encoding (two) and profile encoding to find out their virtues and shortcomings, we carefully studied them with artificial neural network. Results indicate that profile encoding that preserves the redundant evolutionary information gets higher predictive performance. The experimental results show that combining profile encoding an...
متن کاملAn Algebraic Characterization of Equivalent Bayesian Networks
In this paper, we propose an algebraic characterization for equivalent classes of Bayesian networks. Unlike the other characterizations, which are based on the graphical structure of Bayesian networks, our algebraic characterization is derived from the intrinsic algebraic structure of Bayesian networks, i.e., joint probability distribution factorization. The new proposed algebraic characterizat...
متن کاملAlgebraic Geometry of Gaussian Bayesian Networks
Conditional independence models in the Gaussian case are algebraic varieties in the cone of positive definite covariance matrices. We study these varieties in the case of Bayesian networks, with a view towards generalizing the recursive factorization theorem to situations with hidden variables. In the case when the underlying graph is a tree, we show that the vanishing ideal of the model is gen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SPIIRAS Proceedings
سال: 2014
ISSN: 2078-9599,2078-9181
DOI: 10.15622/sp.12.7