arXiv 2003-05-16 EN Conflict-based Force Aggregation Cantwell, John · Schubert, Johan · Walter, Johan
arXiv 2003-05-16 EN Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of MultipleTarget Tracks (Thesis Abstract) Schubert, Johan
arXiv 2003-05-16 EN Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis Bergsten, Ulla · Schubert, Johan · Svensson, Per
arXiv 2003-05-16 EN Dempster-Shafer clustering using Potts spin mean field theory Bengtsson, Mats · Schubert, Johan
arXiv 2003-05-16 EN A neural network and iterative optimization hybrid for Dempster-Shafer clustering Schubert, Johan
arXiv 2003-05-16 EN Creating Prototypes for Fast Classification in Dempster-Shafer Clustering Schubert, Johan
arXiv 2003-05-16 EN Clustering belief functions based on attracting and conflicting metalevel evidence Schubert, Johan
arXiv 2003-05-16 EN Reliable Force Aggregation Using a Refined Evidence Specification from Dempster-Shafer Clustering Schubert, Johan
arXiv 2003-05-16 EN Finding a Posterior Domain Probability Distribution by Specifying Nonspecific Evidence Schubert, Johan
arXiv 2003-03-31 EN Recent Results on No-Free-Lunch Theorems for Optimization Igel, Christian · Toussaint, Marc
arXiv 2003-03-19 EN A Neural Network Assembly Memory Model with Maximum-Likelihood Recall and Recognition Properties Gopych, Petro M.
arXiv 2003-02-02 EN Optimizing GoTools' Search Heuristics using Genetic Algorithms Pratola, Matthew · Wolf, Thomas
arXiv 2002-12-12 EN Low Size-Complexity Inductive Logic Programming: The East-West Challenge Considered as a Problem in Cost-Sensitive Classification Turney, Peter D.
arXiv 2002-12-12 EN Increasing Evolvability Considered as a Large-Scale Trend in Evolution Turney, Peter D.
