|
Showing 1 - 3 of
3 matches in All Departments
|
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II (Paperback, 1st ed. 2019)
Michele Berlingerio, Francesco Bonchi, Thomas Gartner, Neil Hurley, Georgiana Ifrim
|
R3,193
Discovery Miles 31 930
|
Ships in 10 - 15 working days
|
The three volume proceedings LNAI 11051 - 11053 constitutes the
refereed proceedings of the European Conference on Machine Learning
and Knowledge Discovery in Databases, ECML PKDD 2018, held in
Dublin, Ireland, in September 2018. The total of 131 regular papers
presented in part I and part II was carefully reviewed and selected
from 535 submissions; there are 52 papers in the applied data
science, nectar and demo track. The contributions were organized in
topical sections named as follows: Part I: adversarial learning;
anomaly and outlier detection; applications; classification;
clustering and unsupervised learning; deep learningensemble
methods; and evaluation. Part II: graphs; kernel methods; learning
paradigms; matrix and tensor analysis; online and active learning;
pattern and sequence mining; probabilistic models and statistical
methods; recommender systems; and transfer learning. Part III: ADS
data science applications; ADS e-commerce; ADS engineering and
design; ADS financial and security; ADS health; ADS sensing and
positioning; nectar track; and demo track.
|
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I (Paperback, 1st ed. 2019)
Michele Berlingerio, Francesco Bonchi, Thomas Gartner, Neil Hurley, Georgiana Ifrim
|
R1,733
Discovery Miles 17 330
|
Ships in 10 - 15 working days
|
The three volume proceedings LNAI 11051 - 11053 constitutes the
refereed proceedings of the European Conference on Machine Learning
and Knowledge Discovery in Databases, ECML PKDD 2018, held in
Dublin, Ireland, in September 2018. The total of 131 regular papers
presented in part I and part II was carefully reviewed and selected
from 535 submissions; there are 52 papers in the applied data
science, nectar and demo track. The contributions were organized in
topical sections named as follows: Part I: adversarial learning;
anomaly and outlier detection; applications; classification;
clustering and unsupervised learning; deep learningensemble
methods; and evaluation. Part II: graphs; kernel methods; learning
paradigms; matrix and tensor analysis; online and active learning;
pattern and sequence mining; probabilistic models and statistical
methods; recommender systems; and transfer learning. Part III: ADS
data science applications; ADS e-commerce; ADS engineering and
design; ADS financial and security; ADS health; ADS sensing and
positioning; nectar track; and demo track.
|
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III (Paperback, 1st ed. 2019)
Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, …
|
R1,721
Discovery Miles 17 210
|
Ships in 10 - 15 working days
|
The three volume proceedings LNAI 11051 - 11053 constitutes the
refereed proceedings of the European Conference on Machine Learning
and Knowledge Discovery in Databases, ECML PKDD 2018, held in
Dublin, Ireland, in September 2018. The total of 131 regular papers
presented in part I and part II was carefully reviewed and selected
from 535 submissions; there are 52 papers in the applied data
science, nectar and demo track. The contributions were organized in
topical sections named as follows: Part I: adversarial learning;
anomaly and outlier detection; applications; classification;
clustering and unsupervised learning; deep learning; ensemble
methods; and evaluation. Part II: graphs; kernel methods; learning
paradigms; matrix and tensor analysis; online and active learning;
pattern and sequence mining; probabilistic models and statistical
methods; recommender systems; and transfer learning. Part III: ADS
data science applications; ADS e-commerce; ADS engineering and
design; ADS financial and security; ADS health; ADS sensing and
positioning; nectar track; and demo track.
|
|