Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Werner Brockmann"'
Autor:
Werner Brockmann, Andreas Buschermöhle
Publikováno v:
Evolving Systems. 6:131-151
On-line learning regression has been extensively studied as it has the advantages of allowing continuous adaptation to nonstationary environments, handling big data, and a fixed low computation and memory demand. Most research deals with direct linea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a09b1fd150a2825dcae823ecd9fafa43
https://doi.org/10.1007/s12530-014-9118-9
https://doi.org/10.1007/s12530-014-9118-9
Autor:
Jan H. Schoenke, Werner Brockmann
Publikováno v:
ICMLA
In general, designing an incremental learning system for a particular task at least consists of choosing an appropriate approximation structure and learning algorithm. Common Linear In the Parameters (LIP) approximation structures are for example pol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5265e8ebbc62d48be3a45a23e5c2d5c
https://doi.org/10.1109/icmla.2015.153
https://doi.org/10.1109/icmla.2015.153
Autor:
Jan H. Schoenke, Werner Brockmann
Publikováno v:
IFSA-EUSFLAT
Uncertainty treatment in self-optimising systems touches two design-issues. Firstly, a valid estimation of uncertainties within the system is impossible beforehand as the uncertainties as well as the systems behaviour changes during run-time due to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22338e2b5c2f1319c1b3870ba26e8ab3
https://doi.org/10.2991/ifsa-eusflat-15.2015.25
https://doi.org/10.2991/ifsa-eusflat-15.2015.25
Publikováno v:
Image and Vision Computing. 24:357-362
This paper presents a system for the computation of rotational velocity from image sequences. Most existing algorithms for rotation computation are shown to work only on synthetic data. The problems arisen from real image data are discussed and solve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389ef3f71cd4a8a578aa930385b0c437
https://doi.org/10.1016/j.imavis.2005.12.002
https://doi.org/10.1016/j.imavis.2005.12.002
Publikováno v:
Zentralblatt für Chirurgie. 127:134-140
Besides industrial robots, which today are firmly established in production processes, service robots are becoming more and more important. They shall provide services for humans in different areas of their professional and everyday environment inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df85f75f27433f8e0ac5df7a762999aa
https://doi.org/10.1055/s-2002-22032
https://doi.org/10.1055/s-2002-22032
Autor:
Werner Brockmann, Andreas Buschermöhle
Publikováno v:
EAIS
On-line learning allows to adapt to changing nonstationary environments. But typically with on-line learning a hypothesis of the data relation is adapted based on a stream of single local training examples, continuously changing the global input-outp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc8b74e5584c0855973f8dc544429de8
https://doi.org/10.1109/eais.2014.6867475
https://doi.org/10.1109/eais.2014.6867475
Autor:
Werner Brockmann, Andreas Buschermöhle
Publikováno v:
ICMLA (2)
This work presents a novel approach to on-line learning regression. The well-known risk functional is formulated in an incremental manner that is aggressive to incorporate a new example locally as much as possible and at the same time passive in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff77dafcc220f8585194b147b54f62f4
https://doi.org/10.1109/icmla.2013.100
https://doi.org/10.1109/icmla.2013.100
Publikováno v:
SMC
Incremental learning gets increasing attention in research and practice as it has the advantages of continuous adaptation and handling big data with a low computation and memory demand at the same time. Several approaches have been proposed recently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c22832f98838a4d835172696636c7f8
https://doi.org/10.1109/smc.2013.259
https://doi.org/10.1109/smc.2013.259
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642333613
SUM
SUM
In supervised learning different sources of uncertainty influence the resulting functional behavior of the learning system which increases the risk of misbehavior. But still a learning system is often the only way to handle complex systems and large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::802880e52046800845db5610898f9bec
https://doi.org/10.1007/978-3-642-33362-0_44
https://doi.org/10.1007/978-3-642-33362-0_44
Autor:
Jens Hülsmann, Werner Brockmann
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642317170
IPMU (3)
IPMU (3)
The classification of data with dynamically changing uncertainty characteristics is a problem for many practical applications. As an example in the field of nondestructive testing (NDT), magnetic flux leakage (MFL) measurements are used to inspect pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::543d9efdd6260b435a7642d0fd80e10e
https://doi.org/10.1007/978-3-642-31718-7_24
https://doi.org/10.1007/978-3-642-31718-7_24