Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
暂无分享,去创建一个
Günther Palm | Friedhelm Schwenker | Christian Thiel | Rebecca Fay | G. Palm | Rebecca Fay | F. Schwenker | C. Thiel
[1] Alessandro Saffiotti,et al. The Transferable Belief Model , 1991, ECSQARU.
[2] Adam Krzyżak,et al. Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..
[3] Friedhelm Schwenker,et al. Three learning phases for radial-basis-function networks , 2001, Neural Networks.
[4] Günther Palm,et al. Hierarchical Object Classification for Autonomous Mobile Robots , 2002, ICANN.
[5] Galina L. Rogova,et al. Combining the results of several neural network classifiers , 1994, Neural Networks.
[6] James C. Bezdek,et al. Decision templates for multiple classifier fusion: an experimental comparison , 2001, Pattern Recognit..
[7] Joydeep Ghosh,et al. Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis , 2002, Pattern Analysis & Applications.
[8] Joydeep Ghosh,et al. Integrating support vector machines in a hierarchical output space decomposition framework , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[9] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[10] Soo-Young Lee,et al. Support Vector Machines with Binary Tree Architecture for Multi-Class Classification , 2004 .
[11] Sameer A. Nene,et al. Columbia Object Image Library (COIL100) , 1996 .
[12] E. Mandler,et al. Combining the Classification Results of Independent Classifiers Based on the Dempster/Shafer Theory of Evidence , 1988 .
[13] Friedhelm Schwenker,et al. Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines , 2001, DAGM-Symposium.
[14] Joydeep Ghosh,et al. An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems , 2004, Multiple Classifier Systems.
[15] Günther Palm,et al. Using Dempster-Shafer Theory in MCF Systems to Reject Samples , 2005, Multiple Classifier Systems.
[16] R. Fildes. Journal of the Royal Statistical Society (B): Gary K. Grunwald, Adrian E. Raftery and Peter Guttorp, 1993, “Time series of continuous proportions”, 55, 103–116.☆ , 1993 .
[17] Arthur P. Dempster,et al. A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[18] U. Kressel. The Impact of the Learning–Set Size in Handwritten–Digit Recognition , 1991 .
[19] Mohamed A. Deriche,et al. A New Technique for Combining Multiple Classifiers using The Dempster-Shafer Theory of Evidence , 2002, J. Artif. Intell. Res..
[20] Philippe Smets,et al. The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Eibe Frank,et al. Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms , 2004, PAKDD.
[22] Isabelle Bloch,et al. Sensor fusion in anti-personnel mine detection using a two-level belief function model , 2003, IEEE Trans. Syst. Man Cybern. Part C.