Add to ORKGVillmann T, Hammer B, Schleif F-M, Geweniger T, Fischer T, Cottrell M. Prototype based classification using information theoretic learning. In: King I, Wang J, Chan L, Wang DLL, eds. Neural Information Processing, 13th International Conference. Proceedings. Lecture Notes in Computer Science, 4233. Vol Part II. Berlin: Springer; 2006: 40-49
Brinkrolf J, Hammer B. Sparse Metric Learning in Prototype-based Classification. In: Verleysen M, ed...
In this paper, a novel hierarchical prototype-based approach for classification is proposed. This ap...
A prototype is a general description which depicts what an entire set of exemplars, belonging to a c...
Abstract. In this article we extend the (recently published) unsupervised information theoretic vect...
Biehl M, Hammer B, Schneider P, Villmann T. Metric learning for prototype based classification. In: ...
Biehl M, Hammer B, Villmann T. Prototype based models for the supervised learning of classificaton s...
Hammer B, Nebel D, Riedel M, Villmann T. Generative versus Discriminative Prototype Based Classifica...
Saralajew S. New Prototype Concepts in Classification Learning. Bielefeld: Universität Bielefeld; 20...
... theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data s...
We shed light on the discrimination between patterns belonging to two different classes by casting t...
We shed light on the discrimination between patterns belonging to two different classes by casting t...
Biehl M, Hammer B, Villmann T. Prototype-based models in machine learning. Wiley Interdisciplinary R...
An introduction is given to the use of prototype-based models in supervised machine learning. The ma...
Schleif F-M, Villmann T, Hammer B, Schneider P. Efficient Kernelized Prototype-based Classification....
We present an empirical analysis of symbolic prototype learners for synthetic and real domains. The ...
Brinkrolf J, Hammer B. Sparse Metric Learning in Prototype-based Classification. In: Verleysen M, ed...
In this paper, a novel hierarchical prototype-based approach for classification is proposed. This ap...
A prototype is a general description which depicts what an entire set of exemplars, belonging to a c...
Abstract. In this article we extend the (recently published) unsupervised information theoretic vect...
Biehl M, Hammer B, Schneider P, Villmann T. Metric learning for prototype based classification. In: ...
Biehl M, Hammer B, Villmann T. Prototype based models for the supervised learning of classificaton s...
Hammer B, Nebel D, Riedel M, Villmann T. Generative versus Discriminative Prototype Based Classifica...
Saralajew S. New Prototype Concepts in Classification Learning. Bielefeld: Universität Bielefeld; 20...
... theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data s...
We shed light on the discrimination between patterns belonging to two different classes by casting t...
We shed light on the discrimination between patterns belonging to two different classes by casting t...
Biehl M, Hammer B, Villmann T. Prototype-based models in machine learning. Wiley Interdisciplinary R...
An introduction is given to the use of prototype-based models in supervised machine learning. The ma...
Schleif F-M, Villmann T, Hammer B, Schneider P. Efficient Kernelized Prototype-based Classification....
We present an empirical analysis of symbolic prototype learners for synthetic and real domains. The ...
Brinkrolf J, Hammer B. Sparse Metric Learning in Prototype-based Classification. In: Verleysen M, ed...
In this paper, a novel hierarchical prototype-based approach for classification is proposed. This ap...
A prototype is a general description which depicts what an entire set of exemplars, belonging to a c...