---
_id: '811'
author:
- first_name: Freda
full_name: Böhl, Freda
id: '60139'
last_name: Böhl
citation:
ama: 'Böhl F. eLearning in der Hochschullehre: Entwicklung eines Leitfadens für
den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe; 2017.'
apa: 'Böhl, F. (2017). eLearning in der Hochschullehre: Entwicklung eines Leitfadens
für den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe.'
bjps: 'Böhl F (2017) eLearning in der Hochschullehre: Entwicklung eines
Leitfadens für den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe.'
chicago: 'Böhl, Freda. eLearning in der Hochschullehre: Entwicklung eines Leitfadens
für den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe,
2017.'
chicago-de: 'Böhl, Freda. 2017. eLearning in der Hochschullehre: Entwicklung
eines Leitfadens für den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe.'
din1505-2-1: 'Böhl, Freda: eLearning
in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion.
Lemgo : Hochschule Ostwestfalen-Lippe, 2017'
havard: 'F. Böhl, eLearning in der Hochschullehre: Entwicklung eines Leitfadens
für den Studiengang Medienproduktion, Hochschule Ostwestfalen-Lippe, Lemgo, 2017.'
ieee: 'F. Böhl, eLearning in der Hochschullehre: Entwicklung eines Leitfadens
für den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe,
2017.'
mla: 'Böhl, Freda. eLearning in der Hochschullehre: Entwicklung eines Leitfadens
für den Studiengang Medienproduktion. Hochschule Ostwestfalen-Lippe, 2017.'
short: 'F. Böhl, eLearning in der Hochschullehre: Entwicklung eines Leitfadens für
den Studiengang Medienproduktion, Hochschule Ostwestfalen-Lippe, Lemgo, 2017.'
ufg: 'Böhl, Freda (2017): eLearning in der Hochschullehre: Entwicklung eines
Leitfadens für den Studiengang Medienproduktion, Lemgo.'
van: 'Böhl F. eLearning in der Hochschullehre: Entwicklung eines Leitfadens für
den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe; 2017.
60 p.'
date_created: 2019-04-05T13:36:50Z
date_updated: 2023-03-15T13:50:13Z
ddc:
- '370'
department:
- _id: DEP2001
file:
- access_level: closed
content_type: application/pdf
creator: 6bl-f5s
date_created: 2019-04-05T13:36:10Z
date_updated: 2019-04-05T13:36:10Z
file_id: '812'
file_name: BA_eLearning in der Hochschullehre.pdf
file_size: 1626480
relation: main_file
file_date_updated: 2019-04-05T13:36:10Z
has_accepted_license: '1'
keyword:
- E-Learning
- eLearning
language:
- iso: ger
page: '60'
place: Lemgo
publication_status: published
publisher: Hochschule Ostwestfalen-Lippe
status: public
supervisor:
- first_name: Heizo
full_name: Schulze, Heizo
id: '29126'
last_name: Schulze
- first_name: Aristotelis
full_name: Had-jakos, Aristotelis
last_name: Had-jakos
title: 'eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang
Medienproduktion'
type: bachelor_thesis
user_id: '45673'
year: 2017
...
---
_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
...
---
_id: '2167'
abstract:
- lang: eng
text: "Cyber-Physical Production Systems (CPPSs) are in the focus of research, industry
and politics: By applying new IT and new computer science solutions, production
systems will become more adaptable, more resource ef- ficient and more user friendly.
The analysis and diagnosis of such systems is a major part of this trend: Plants
should detect automatically wear, faults and suboptimal configurations. This paper
reflects the current state-of- the-art in diagnosis against the requirements of
CPPSs, identifies three main gaps and gives application scenarios to outline first
ideas for potential solutions to close these gaps.\r\n"
author:
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: 'Niggemann O, Lohweg V. On the Diagnosis of Cyber-Physical Production Systems
- State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial
Intelligence (AAAI-15). Austin, Texas, USA; 2015.'
apa: Niggemann, O., & Lohweg, V. (2015). On the Diagnosis of Cyber-Physical
Production Systems - State-of-the-Art and Research Agenda. In Twenty-Ninth
Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.
bjps: Niggemann O and Lohweg V (2015) On the Diagnosis of Cyber-Physical
Production Systems - State-of-the-Art and Research Agenda. Twenty-Ninth Conference
on Artificial Intelligence (AAAI-15). Austin, Texas, USA.
chicago: Niggemann, Oliver, and Volker Lohweg. “On the Diagnosis of Cyber-Physical
Production Systems - State-of-the-Art and Research Agenda.” In Twenty-Ninth
Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA, 2015.
chicago-de: 'Niggemann, Oliver und Volker Lohweg. 2015. On the Diagnosis of Cyber-Physical
Production Systems - State-of-the-Art and Research Agenda. In: Twenty-Ninth
Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.'
din1505-2-1: 'Niggemann, Oliver ;
Lohweg, Volker: On the Diagnosis
of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In:
Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas,
USA, 2015'
havard: 'O. Niggemann, V. Lohweg, On the Diagnosis of Cyber-Physical Production
Systems - State-of-the-Art and Research Agenda, in: Twenty-Ninth Conference on
Artificial Intelligence (AAAI-15), Austin, Texas, USA, 2015.'
ieee: O. Niggemann and V. Lohweg, “On the Diagnosis of Cyber-Physical Production
Systems - State-of-the-Art and Research Agenda,” in Twenty-Ninth Conference
on Artificial Intelligence (AAAI-15), 2015.
mla: Niggemann, Oliver, and Volker Lohweg. “On the Diagnosis of Cyber-Physical Production
Systems - State-of-the-Art and Research Agenda.” Twenty-Ninth Conference on
Artificial Intelligence (AAAI-15), 2015.
short: 'O. Niggemann, V. Lohweg, in: Twenty-Ninth Conference on Artificial Intelligence
(AAAI-15), Austin, Texas, USA, 2015.'
ufg: 'Niggemann, Oliver/Lohweg, Volker (2015): On the Diagnosis of Cyber-Physical
Production Systems - State-of-the-Art and Research Agenda, in: Twenty-Ninth
Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA.'
van: 'Niggemann O, Lohweg V. On the Diagnosis of Cyber-Physical Production Systems
- State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial
Intelligence (AAAI-15). Austin, Texas, USA; 2015.'
date_created: 2019-12-04T12:43:12Z
date_updated: 2023-03-15T13:49:39Z
department:
- _id: DEP5023
keyword:
- Cyber-Physical Systems
- Machine Learning
- Diagnosis
- Anomaly Detection
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9530/9691
oa: '1'
place: Austin, Texas, USA
publication: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)
status: public
title: On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and
Research Agenda
type: conference
user_id: '68554'
year: 2015
...
---
_id: '4336'
abstract:
- lang: eng
text: "Prolonged life expectancy along with the increasing complexity of medicine
and health services raises health costs worldwide dramatically. Whilst the smart
health concept has much potential to support the concept of the emerging P4-medicine
(preventive, participatory, predictive, and personalized), such high-tech medicine
produces large amounts of high-dimensional, weakly-structured data sets and massive
amounts of unstructured information. All these technological approaches along
with “big data” are turning the medical sciences into a data-intensive science.
To keep pace with the growing amounts of complex data, smart hospital approaches
are a commandment of the future, necessitating context aware computing along with
advanced interaction paradigms in new physical-digital ecosystems.\r\n\r\nThe
very successful synergistic combination of methodologies and approaches from Human-Computer
Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions
for the vision to support human intelligence with machine learning.\r\n\r\nThe
papers selected for this volume focus on hot topics in smart health; they discuss
open problems and future challenges in order to provide a research agenda to stimulate
further research and progress."
citation:
ama: 'Holzinger A, Röcker C, Ziefle M, eds. Smart Health: Open Problems and Future
Challenges. Vol 8700. Heidelberg: Springer; 2015. doi:10.1007/978-3-319-16226-3'
apa: 'Holzinger, A., Röcker, C., & Ziefle, M. (Eds.). (2015). Smart Health:
Open Problems and Future Challenges (Vol. 8700). Heidelberg: Springer. https://doi.org/10.1007/978-3-319-16226-3'
bjps: 'Holzinger A, Röcker C and Ziefle M (eds) (2015) Smart Health: Open
Problems and Future Challenges. Heidelberg: Springer.'
chicago: 'Holzinger, Andreas, Carsten Röcker, and Martina Ziefle, eds. Smart
Health: Open Problems and Future Challenges. Vol. 8700. Lecture Notes in Computer
Science / Information Systems and Applications, Incl. Internet/Web, and HCI.
Heidelberg: Springer, 2015. https://doi.org/10.1007/978-3-319-16226-3.'
chicago-de: 'Holzinger, Andreas, Carsten Röcker und Martina Ziefle, Hrsg. 2015.
Smart Health: Open Problems and Future Challenges. Bd. 8700. Lecture Notes
in Computer Science / Information Systems and Applications, incl. Internet/Web,
and HCI. Heidelberg: Springer. doi:10.1007/978-3-319-16226-3,
.'
din1505-2-1: 'Holzinger, A. ; Röcker, C. ; Ziefle,
M. (Hrsg.): Smart Health: Open Problems and Future Challenges, Lecture
Notes in Computer Science / Information Systems and Applications, incl. Internet/Web,
and HCI. Bd. 8700. Heidelberg : Springer, 2015'
havard: 'A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and
Future Challenges, Springer, Heidelberg, 2015.'
ieee: 'A. Holzinger, C. Röcker, and M. Ziefle, Eds., Smart Health: Open Problems
and Future Challenges, vol. 8700. Heidelberg: Springer, 2015.'
mla: 'Holzinger, Andreas, et al., editors. Smart Health: Open Problems and Future
Challenges. Vol. 8700, Springer, 2015, doi:10.1007/978-3-319-16226-3.'
short: 'A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and
Future Challenges, Springer, Heidelberg, 2015.'
ufg: 'Holzinger, Andreas et. al. (Hgg.) (2015): Smart Health: Open Problems
and Future Challenges (=Lecture Notes in Computer Science / Information Systems
and Applications, incl. Internet/Web, and HCI 8700), Heidelberg.'
van: 'Holzinger A, Röcker C, Ziefle M, editors. Smart Health: Open Problems and
Future Challenges. Heidelberg: Springer; 2015. 275 p. (Lecture Notes in Computer
Science / Information Systems and Applications, incl. Internet/Web, and HCI;
vol. 8700).'
date_created: 2021-01-08T12:03:52Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
doi: 10.1007/978-3-319-16226-3
editor:
- first_name: Andreas
full_name: Holzinger, Andreas
last_name: Holzinger
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
- first_name: Martina
full_name: Ziefle, Martina
last_name: Ziefle
intvolume: ' 8700'
keyword:
- HCI
- ambient assisted living
- big data
- computational intelligence
- context awareness
- data centric medicine
- decision support
- interactive data mining
- keyword detection
- knoweldge bases
- knoweldge discovery
- machine learning
- medical decision support
- medical informatics
- natural language processing
- pervasive health
- smart home
- ubiquitous computing
- visualization
- wearable sensors
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 'http://www.springerlink.com/content/978-3-319-16226-3 '
oa: '1'
page: '275'
place: Heidelberg
publication_identifier:
eisbn:
- 978-3-319-16226-3
eissn:
- 1611-3349
isbn:
- 978-3-319-16225-6
issn:
- 0302-9743
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science / Information Systems and Applications,
incl. Internet/Web, and HCI
status: public
title: 'Smart Health: Open Problems and Future Challenges'
type: book_editor
user_id: '15514'
volume: 8700
year: 2015
...
---
_id: '9856'
abstract:
- lang: eng
text: According to the Bologna Accord in 2006 the study courses for architecture,
urban planning and landscape planning at Kassel university were reformed to a
bachelor and master education programme. New courses – so called “modules” were
found. One of them “Wahrnehmung und Analyse von Räumen” – “landscape perception
and analysis” – is an interdisciplinary course teaching and comparing three different
perspectives – those of ecology, social science and landscape planning – on landscape.
To manage a high number of students the e-learning platform “Moodle” is used.
Also giving an introduction into GIS is a major part of the course. This article
– after “landscape perception and analysis” started four years ago – gives an
overview of the recent and future development of the course from a teachers perspective.
- lang: eng
text: Im Zuge des Bolognaprozesses wurde 2006 der Studiengang Landschaftsplanung
an der Universität Kassel auf das Bachelor- und Mastersystem umgestellt. Eines
der neuen „Lehrmodule“ ist „Wahrnehmung und Analyse von Räumen“, das interdis-ziplinär
angelegt ist, und den Studierenden eine Einführung in die Erfassung von Landschaften
gibt. Drei unterschiedliche Perspektiven auf Landschaft – ökologisch, sozialwissenschaftlich
und landschaftsplanerisch – werden gelehrt und gegenübergestellt. Um die große
Zahl der Studierenden zu betreuen, wird die E-Learning-Plattform „Moodle“ eingesetzt.
Auch die Heranführung an Geographische Informationssysteme ist ein wesentlicher
Teil der Ausbildung. Dieser Beitrag stellt nach nun vier Jahren „Wahrnehmung und
Analyse von Räumen“ die Entwicklung des Moduls dar, und zeigt die wichtigsten
Erkenntnisse aus der Sicht der Lehrenden.
alternative_title:
- WAHRNEHMUNG UND ANALYSE VON RÄUMEN – EIN INTERDISZIPLINÄRES LEHRMODUL IN DER UNIVERSITÄREN
LANDSCHAFTSPLANUNGSAUSBILDUNG
author:
- first_name: Claas
full_name: Leiner, Claas
last_name: Leiner
- first_name: Boris
full_name: Stemmer, Boris
id: '64889'
last_name: Stemmer
citation:
ama: Leiner C, Stemmer B. Teaching Landscape Planning - Landscape Perception and
Analysis. gisScience. 2011;(4):105-110.
apa: Leiner, C., & Stemmer, B. (2011). Teaching Landscape Planning - Landscape
Perception and Analysis. Gis.Science, 4, 105–110.
bjps: Leiner C and Stemmer B (2011) Teaching Landscape Planning - Landscape
Perception and Analysis. gis.Science 105–110.
chicago: 'Leiner, Claas, and Boris Stemmer. “Teaching Landscape Planning - Landscape
Perception and Analysis.” Gis.Science, no. 4 (2011): 105–10.'
chicago-de: 'Leiner, Claas und Boris Stemmer. 2011. Teaching Landscape Planning
- Landscape Perception and Analysis. gis.Science, Nr. 4: 105–110.'
din1505-2-1: 'Leiner, Claas ; Stemmer, Boris: Teaching Landscape Planning
- Landscape Perception and Analysis. In: gis.Science. Berlin, Wichmann
(2011), Nr. 4, S. 105–110'
havard: C. Leiner, B. Stemmer, Teaching Landscape Planning - Landscape Perception
and Analysis, Gis.Science. (2011) 105–110.
ieee: C. Leiner and B. Stemmer, “Teaching Landscape Planning - Landscape Perception
and Analysis,” gis.Science, no. 4, pp. 105–110, 2011.
mla: Leiner, Claas, and Boris Stemmer. “Teaching Landscape Planning - Landscape
Perception and Analysis.” Gis.Science, no. 4, 2011, pp. 105–10.
short: C. Leiner, B. Stemmer, Gis.Science (2011) 105–110.
ufg: 'Leiner, Claas/Stemmer, Boris: Teaching Landscape Planning - Landscape
Perception and Analysis, in: gis.Science (2011), H. 4, S. 105–110.'
van: Leiner C, Stemmer B. Teaching Landscape Planning - Landscape Perception and
Analysis. gisScience. 2011;(4):105–10.
date_created: 2023-04-24T09:11:32Z
date_updated: 2023-05-11T14:46:20Z
department:
- _id: DEP9013
extern: '1'
issue: '4'
keyword:
- Universitarian teaching
- GIS
- e-learning
- bologna process
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://gispoint.de/index.php?eID=dumpFile&t=f&f=13220&token=34e95e0810ebc46f00cd15f2b8ccdaa2d92d60f7&download=
oa: '1'
page: 105–110
place: Berlin
publication: gis.Science
publication_identifier:
eissn:
- 2698-4571
issn:
- '1869-9391 '
publication_status: published
publisher: Wichmann
status: public
title: Teaching Landscape Planning - Landscape Perception and Analysis
type: scientific_journal_article
user_id: '15514'
year: '2011'
...
---
_id: '2087'
abstract:
- lang: eng
text: It is likely in real-world applications that only little data isavailable
for training a knowledge-based system. We present a method forautomatically training
the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification
system that works also when only littledata is available and the universal set
is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s
member-ship functions are trained using probability distribution functions.
author:
- first_name: Uwe
full_name: Mönks, Uwe
id: '1825'
last_name: Mönks
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
- first_name: Denis
full_name: Petker, Denis
last_name: Petker
citation:
ama: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small
Data Sets. In: IPMU 2010 - International Conference on Information Processing
and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02
July 2010, Dortmund, Germany; 2010.'
apa: Mönks, U., Lohweg, V., & Petker, D. (2010). Fuzzy-Pattern-Classifier Training
with Small Data Sets. In IPMU 2010 - International Conference on Information
Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun
2010 - 02 July 2010, Dortmund, Germany.
bjps: Mönks U, Lohweg V and Petker D (2010) Fuzzy-Pattern-Classifier Training
with Small Data Sets. IPMU 2010 - International Conference on Information Processing
and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02
July 2010, Dortmund, Germany.
chicago: Mönks, Uwe, Volker Lohweg, and Denis Petker. “Fuzzy-Pattern-Classifier
Training with Small Data Sets.” In IPMU 2010 - International Conference on
Information Processing and Management of Uncertainty in Knowledge Based Systems.
28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.
chicago-de: 'Mönks, Uwe, Volker Lohweg und Denis Petker. 2010. Fuzzy-Pattern-Classifier
Training with Small Data Sets. In: IPMU 2010 - International Conference on
Information Processing and Management of Uncertainty in Knowledge Based Systems.
28 Jun 2010 - 02 July 2010, Dortmund, Germany.'
din1505-2-1: 'Mönks, Uwe ; Lohweg,
Volker ; Petker, Denis: Fuzzy-Pattern-Classifier
Training with Small Data Sets. In: IPMU 2010 - International Conference on
Information Processing and Management of Uncertainty in Knowledge Based Systems :
28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010'
havard: 'U. Mönks, V. Lohweg, D. Petker, Fuzzy-Pattern-Classifier Training with
Small Data Sets, in: IPMU 2010 - International Conference on Information Processing
and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July
2010, Dortmund, Germany, 2010.'
ieee: U. Mönks, V. Lohweg, and D. Petker, “Fuzzy-Pattern-Classifier Training with
Small Data Sets,” in IPMU 2010 - International Conference on Information Processing
and Management of Uncertainty in Knowledge Based Systems, 2010.
mla: Mönks, Uwe, et al. “Fuzzy-Pattern-Classifier Training with Small Data Sets.”
IPMU 2010 - International Conference on Information Processing and Management
of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund,
Germany, 2010.
short: 'U. Mönks, V. Lohweg, D. Petker, in: IPMU 2010 - International Conference
on Information Processing and Management of Uncertainty in Knowledge Based Systems,
28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.'
ufg: 'Mönks, Uwe et. al. (2010): Fuzzy-Pattern-Classifier Training with Small
Data Sets, in: IPMU 2010 - International Conference on Information Processing
and Management of Uncertainty in Knowledge Based Systems.'
van: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small
Data Sets. In: IPMU 2010 - International Conference on Information Processing
and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July
2010, Dortmund, Germany; 2010.'
date_created: 2019-12-02T08:15:18Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
keyword:
- Fuzzy Logic
- Probability Theory
- Fuzzy-Pattern-Classification
- Machine Learning
- Artificial Intelligence
- Pattern Recognition
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.th-owl.de/init/uploads/tx_initdb/00800426_01.pdf
oa: '1'
publication: IPMU 2010 - International Conference on Information Processing and Management
of Uncertainty in Knowledge Based Systems
publication_status: published
publisher: 28 Jun 2010 - 02 July 2010, Dortmund, Germany
status: public
title: Fuzzy-Pattern-Classifier Training with Small Data Sets
type: conference
user_id: '45673'
year: 2010
...