Active Learning of the Generalized High-Low-Game
Hasenjäger M, Ritter H (1996)
In: Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. Malsburg von der C, Seelen von W, Vorbrüggen J, Sendhoff B (Eds); Lecture Notes in Computer Science, 1112. Berlin: Springer: 501-506.
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Hasenjäger, Martina;
Ritter, HelgeUniBi 
Herausgeber*in
Malsburg von der, Christoph;
Seelen von, Werner;
Vorbrüggen, J.;
Sendhoff, Bernhard
Einrichtung
Abstract / Bemerkung
In this paper, we study the performance of active learning with the query algorithm Query by Committee (QBC), which selects a new query such that it approximately maximizes the expected information gain. As target functions, we introduce a generalization of the High-Low-Game, for which we derive a theoretically optimal query sequence. This allows us to compare the performance of a QBC-learner with an information-optimal active learner. Simulations show that an active learner that selects queries with QBC rapidly converges against a learner trained with theoretically optimal queries.
Erscheinungsjahr
1996
Titel des Konferenzbandes
Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings
Serien- oder Zeitschriftentitel
Lecture Notes in Computer Science
Band
1112
Seite(n)
501-506
Konferenz
ICANN 96
Konferenzort
Bochum
Konferenzdatum
1996-07-16 – 1996-07-19
ISBN
978-3-540-61510-1
Page URI
https://pub.uni-bielefeld.de/record/2715154
Zitieren
Hasenjäger M, Ritter H. Active Learning of the Generalized High-Low-Game. In: Malsburg von der C, Seelen von W, Vorbrüggen J, Sendhoff B, eds. Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. Lecture Notes in Computer Science. Vol 1112. Berlin: Springer; 1996: 501-506.
Hasenjäger, M., & Ritter, H. (1996). Active Learning of the Generalized High-Low-Game. In C. Malsburg von der, W. Seelen von, J. Vorbrüggen, & B. Sendhoff (Eds.), Lecture Notes in Computer Science: Vol. 1112. Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings (pp. 501-506). Berlin: Springer. doi:10.1007/3-540-61510-5_86
Hasenjäger, Martina, and Ritter, Helge. 1996. “Active Learning of the Generalized High-Low-Game”. In Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings, ed. Christoph Malsburg von der, Werner Seelen von, J. Vorbrüggen, and Bernhard Sendhoff, 1112:501-506. Lecture Notes in Computer Science. Berlin: Springer.
Hasenjäger, M., and Ritter, H. (1996). “Active Learning of the Generalized High-Low-Game” in Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings, Malsburg von der, C., Seelen von, W., Vorbrüggen, J., and Sendhoff, B. eds. Lecture Notes in Computer Science, vol. 1112, (Berlin: Springer), 501-506.
Hasenjäger, M., & Ritter, H., 1996. Active Learning of the Generalized High-Low-Game. In C. Malsburg von der, et al., eds. Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. Lecture Notes in Computer Science. no.1112 Berlin: Springer, pp. 501-506.
M. Hasenjäger and H. Ritter, “Active Learning of the Generalized High-Low-Game”, Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings, C. Malsburg von der, et al., eds., Lecture Notes in Computer Science, vol. 1112, Berlin: Springer, 1996, pp.501-506.
Hasenjäger, M., Ritter, H.: Active Learning of the Generalized High-Low-Game. In: Malsburg von der, C., Seelen von, W., Vorbrüggen, J., and Sendhoff, B. (eds.) Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. Lecture Notes in Computer Science. 1112, p. 501-506. Springer, Berlin (1996).
Hasenjäger, Martina, and Ritter, Helge. “Active Learning of the Generalized High-Low-Game”. Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. Ed. Christoph Malsburg von der, Werner Seelen von, J. Vorbrüggen, and Bernhard Sendhoff. Berlin: Springer, 1996.Vol. 1112. Lecture Notes in Computer Science. 501-506.
Google Scholar
ISBN Suche