---
_id: '4298'
abstract:
- lang: eng
text: In this paper, we present the current state-of-the-art of decision making
(DM) and machine learning (ML) and bridge the two research domains to create an
integrated approach of complex problem solving based on human and computational
agents. We present a novel classification of ML, emphasizing the human-in-the-loop
in interactive ML (iML) and more specific on collaborative interactive ML (ciML),
which we understand as a deep integrated version of iML, where humans and algorithms
work hand in hand to solve complex problems. Both humans and computers have specific
strengths and weaknesses and integrating humans into machine learning processes
might be a very efficient way for tackling problems. This approach bears immense
research potential for various domains, e.g., in health informatics or in industrial
applications. We outline open questions and name future challenges that have to
be addressed by the research community to enable the use of collaborative interactive
machine learning for problem solving in a large scale.
author:
- first_name: Sebastian
full_name: Robert, Sebastian
last_name: Robert
- first_name: Sebastian
full_name: Büttner, Sebastian
id: '61868'
last_name: Büttner
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
- first_name: Andreas
full_name: Holzinger, Andreas
last_name: Holzinger
citation:
ama: 'Robert S, Büttner S, Röcker C, Holzinger A. Reasoning Under Uncertainty: Towards
Collaborative Interactive Machine Learning. In: Holzinger A, ed. Machine Learning
for Health Informatics : State-of-the-Art and Future Challenges . Vol 9605.
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
. Cham, CH: Springer; 2016:357-376. doi:10.1007/978-3-319-50478-0_18'
apa: 'Robert, S., Büttner, S., Röcker, C., & Holzinger, A. (2016). Reasoning
Under Uncertainty: Towards Collaborative Interactive Machine Learning. In A. Holzinger
(Ed.), Machine Learning for Health Informatics : State-of-the-Art and Future
Challenges (Vol. 9605, pp. 357–376). Cham, CH: Springer. https://doi.org/10.1007/978-3-319-50478-0_18'
bjps: 'Robert S et al. (2016) Reasoning Under Uncertainty: Towards
Collaborative Interactive Machine Learning. In Holzinger A (ed.), Machine Learning
for Health Informatics : State-of-the-Art and Future Challenges , vol. 9605.
Cham, CH: Springer, pp. 357–376.'
chicago: 'Robert, Sebastian, Sebastian Büttner, Carsten Röcker, and Andreas Holzinger.
“Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning.”
In Machine Learning for Health Informatics : State-of-the-Art and Future Challenges
, edited by Andreas Holzinger, 9605:357–76. Lecture Notes in Computer Science
/ Lecture Notes in Artificial Intelligence . Cham, CH: Springer, 2016. https://doi.org/10.1007/978-3-319-50478-0_18.'
chicago-de: 'Robert, Sebastian, Sebastian Büttner, Carsten Röcker und Andreas Holzinger.
2016. Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning.
In: Machine Learning for Health Informatics : State-of-the-Art and Future Challenges
, hg. von Andreas Holzinger, 9605:357–376. Lecture Notes in Computer Science
/ Lecture Notes in Artificial Intelligence . Cham, CH: Springer. doi:10.1007/978-3-319-50478-0_18,
.'
din1505-2-1: 'Robert, Sebastian ;
Büttner, Sebastian ; Röcker,
Carsten ; Holzinger, Andreas:
Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning.
In: Holzinger, A. (Hrsg.): Machine
Learning for Health Informatics : State-of-the-Art and Future Challenges ,
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
. Bd. 9605. Cham, CH : Springer, 2016, S. 357–376'
havard: 'S. Robert, S. Büttner, C. Röcker, A. Holzinger, Reasoning Under Uncertainty:
Towards Collaborative Interactive Machine Learning, in: A. Holzinger (Ed.), Machine
Learning for Health Informatics : State-of-the-Art and Future Challenges , Springer,
Cham, CH, 2016: pp. 357–376.'
ieee: 'S. Robert, S. Büttner, C. Röcker, and A. Holzinger, “Reasoning Under Uncertainty:
Towards Collaborative Interactive Machine Learning,” in Machine Learning for
Health Informatics : State-of-the-Art and Future Challenges , vol. 9605, A.
Holzinger, Ed. Cham, CH: Springer, 2016, pp. 357–376.'
mla: 'Robert, Sebastian, et al. “Reasoning Under Uncertainty: Towards Collaborative
Interactive Machine Learning.” Machine Learning for Health Informatics : State-of-the-Art
and Future Challenges , edited by Andreas Holzinger, vol. 9605, Springer,
2016, pp. 357–76, doi:10.1007/978-3-319-50478-0_18.'
short: 'S. Robert, S. Büttner, C. Röcker, A. Holzinger, in: A. Holzinger (Ed.),
Machine Learning for Health Informatics : State-of-the-Art and Future Challenges
, Springer, Cham, CH, 2016, pp. 357–376.'
ufg: 'Robert, Sebastian et. al. (2016): Reasoning Under Uncertainty: Towards
Collaborative Interactive Machine Learning, in: Andreas Holzinger (Hg.): Machine
Learning for Health Informatics : State-of-the-Art and Future Challenges
(=Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence 9605),
Cham, CH, S. 357–376.'
van: 'Robert S, Büttner S, Röcker C, Holzinger A. Reasoning Under Uncertainty: Towards
Collaborative Interactive Machine Learning. In: Holzinger A, editor. Machine Learning
for Health Informatics : State-of-the-Art and Future Challenges . Cham, CH: Springer;
2016. p. 357–76. (Lecture Notes in Computer Science / Lecture Notes in Artificial
Intelligence ; vol. 9605).'
date_created: 2020-12-22T14:11:00Z
date_updated: 2023-03-15T13:49:51Z
department:
- _id: DEP5023
doi: 10.1007/978-3-319-50478-0_18
editor:
- first_name: Andreas
full_name: Holzinger, Andreas
last_name: Holzinger
intvolume: ' 9605'
keyword:
- Decision making
- Reasoning
- Interactive machine learning
- Collaborative interactive machine learning
language:
- iso: eng
page: 357-376
place: Cham, CH
publication: 'Machine Learning for Health Informatics : State-of-the-Art and Future
Challenges '
publication_identifier:
eisbn:
- '978-3-319-50478-0 '
isbn:
- '978-3-319-50477-3 '
publication_status: published
publisher: Springer
series_title: 'Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence '
status: public
title: 'Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning'
type: book_chapter
user_id: '15514'
volume: 9605
year: 2016
...