11 Publikationen

Alle markieren

[11]
2016 | Preprint | Veröffentlicht | PUB-ID: 2901439
A Probabilistic Model with Adaptive Rejection
Fischer L, Villmann T (2016)
Machine Learning Reports, MLR-01-2016:1-19.
PUB
 
[10]
2016 | Konferenzbeitrag | PUB-ID: 2905195
Online Metric Learning for an Adaptation to Confidence Drift
Fischer L, Hammer B, Wersing H (2016)
In: Proceedings of International Joint Conference on Neural Networks (IJCNN). Vancouver: IEEE: 748-755.
PUB
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905193
Optimal local rejection for classifiers
Fischer L, Hammer B, Wersing H (2016)
Neurocomputing 214: 445-457.
PUB | DOI | WoS
 
[8]
2016 | Bielefelder E-Dissertation | PUB-ID: 2906747 OA PUB | PDF
 
[7]
2015 | Preprint | PUB-ID: 2774656
Optimum Reject Options for Prototype-based Classification
Fischer L, Hammer B, Wersing H (2015) .
PUB | arXiv
 
[6]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707
Certainty-based Prototype Insertion/Deletion for Classification with Metric Adaptation
Fischer L, Hammer B, Wersing H (2015)
In: ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 7-12.
PUB
 
[5]
2015 | Konferenzbeitrag | PUB-ID: 2774721
Combining Offline and Online Classifiers for Life-long Learning
Fischer L, Hammer B, Wersing H (2015)
In: IJCNN, International Joint Conference on Neural Networks. 2808-2815.
PUB
 
[4]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413
Efficient rejection strategies for prototype-based classification
Fischer L, Hammer B, Wersing H (2015)
Neurocomputing 169(SI): 334-342.
PUB | DOI | WoS
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643
Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches
Fischer L, Nebel D, Villmann T, Hammer B, Wersing H (2014)
In: Advances in Self-Organizing Maps and Learning Vector Quantization. Villmann T, Schleif F-M, Kaden M, Lange M (Eds); Advances in Intelligent Systems and Computing, 295. Cham: Springer International Publishing: 109-118.
PUB | DOI
 
[2]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548
Rejection strategies for learning vector quantization
Fischer L, Hammer B, Wersing H (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 41-46.
PUB
 
[1]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498
Local Rejection Strategies for Learning Vector Quantization
Fischer L, Hammer B, Wersing H (2014)
In: Artificial Neural Networks and Machine Learning – ICANN 2014. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa AEP (Eds); Lecture Notes in Computer Science, 8681. Cham: Springer International Publishing: 563-570.
PUB | DOI
 

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11 Publikationen

Alle markieren

[11]
2016 | Preprint | Veröffentlicht | PUB-ID: 2901439
A Probabilistic Model with Adaptive Rejection
Fischer L, Villmann T (2016)
Machine Learning Reports, MLR-01-2016:1-19.
PUB
 
[10]
2016 | Konferenzbeitrag | PUB-ID: 2905195
Online Metric Learning for an Adaptation to Confidence Drift
Fischer L, Hammer B, Wersing H (2016)
In: Proceedings of International Joint Conference on Neural Networks (IJCNN). Vancouver: IEEE: 748-755.
PUB
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905193
Optimal local rejection for classifiers
Fischer L, Hammer B, Wersing H (2016)
Neurocomputing 214: 445-457.
PUB | DOI | WoS
 
[8]
2016 | Bielefelder E-Dissertation | PUB-ID: 2906747 OA PUB | PDF
 
[7]
2015 | Preprint | PUB-ID: 2774656
Optimum Reject Options for Prototype-based Classification
Fischer L, Hammer B, Wersing H (2015) .
PUB | arXiv
 
[6]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707
Certainty-based Prototype Insertion/Deletion for Classification with Metric Adaptation
Fischer L, Hammer B, Wersing H (2015)
In: ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 7-12.
PUB
 
[5]
2015 | Konferenzbeitrag | PUB-ID: 2774721
Combining Offline and Online Classifiers for Life-long Learning
Fischer L, Hammer B, Wersing H (2015)
In: IJCNN, International Joint Conference on Neural Networks. 2808-2815.
PUB
 
[4]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413
Efficient rejection strategies for prototype-based classification
Fischer L, Hammer B, Wersing H (2015)
Neurocomputing 169(SI): 334-342.
PUB | DOI | WoS
 
[3]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643
Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches
Fischer L, Nebel D, Villmann T, Hammer B, Wersing H (2014)
In: Advances in Self-Organizing Maps and Learning Vector Quantization. Villmann T, Schleif F-M, Kaden M, Lange M (Eds); Advances in Intelligent Systems and Computing, 295. Cham: Springer International Publishing: 109-118.
PUB | DOI
 
[2]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548
Rejection strategies for learning vector quantization
Fischer L, Hammer B, Wersing H (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 41-46.
PUB
 
[1]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498
Local Rejection Strategies for Learning Vector Quantization
Fischer L, Hammer B, Wersing H (2014)
In: Artificial Neural Networks and Machine Learning – ICANN 2014. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa AEP (Eds); Lecture Notes in Computer Science, 8681. Cham: Springer International Publishing: 563-570.
PUB | DOI
 

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