A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
: This paper sketches an approach to designing organization-specific information models for Enterprise Architecture (EA) Management based on patterns. Thus we intend to support th...
Sabine Buckl, Alexander M. Ernst, Josef Lankes, Ka...
We present a proposal for research, development and construction of international communities in Portuguese, using digital platforms. The idea was born following an international ...