Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...
Abstract. This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree ...
Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczore...
Abstract. We introduce a special family of (assumption-based argumentation) frameworks for reasoning about the benets of decisions. These frameworks can be used for representing t...
Group decision support systems (GDSS) hold significant potential for improving decision making, but they have not been broadly adopted. One reason for this is that these platforms...
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....