Falls Sie nur an einem bestimmten Exempar interessiert sind, können Sie aus der folgenden Liste jenes wählen, an dem Sie interessiert sind:
Nur diese Ausgabe anzeigen…
Nur diese Ausgabe anzeigen…
Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers (Lecture Notes in Computer Science)
10 Angebote vergleichen
Preise | 2017 | 2019 | 2021 |
---|---|---|---|
Schnitt | € 31,99 | € 40,95 | € 42,78 |
Nachfrage |
Towards Integrative Machine Learning and Knowledge Extraction
ISBN: 9783319697741 bzw. 3319697749, in Deutsch, Springer International Publishing / Springer-Verlag GmbH, gebundenes Buch, neu.
The BIRS Workshop ´´Advances in interactive Knowledge Discovery and Data Mining in complex and big data sets´´ (15w2181) in July 2015 in Banff, Canada, was dedicated to stimulate a cross-domain integrative machine learning approach and appraisal of ´´hot topics´´ towards tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, e.g. in the health domain. This encompasses learning from prior data, extracting and The BIRS Workshop ´´Advances in interactive Knowledge Discovery and Data Mining in complex and big data sets´´ (15w2181) in July 2015 in Banff, Canada, was dedicated to stimulate a cross-domain integrative machine learning approach and appraisal of ´´hot topics´´ towards tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, e.g. in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e. to make sense of data within the context of the application domain. The workshop particularly tried to contribute advancements in promising novel areas as, for example, at the intersection of machine learning (ML) and topological data analysis (TDA). History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning. Lieferzeit 1-2 Werktage.
Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers
ISBN: 9783319697741 bzw. 3319697749, in Deutsch, Springer-Verlag Gmbh, Taschenbuch, neu.
Towards Integrative Machine Learning and Knowledge Extraction: The BIRS Workshop `Advances in interactive Knowledge Discovery and Data Mining in complex and big data sets` (15w2181) in July 2015 in Banff, Canada, was dedicated to stimulate a cross-domain integrative machine learning approach and appraisal of `hot topics` towards tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, e.g. in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e. to make sense of data within the context of the application domain. Englisch, Taschenbuch.
Towards Integrative Machine Learning and Knowledge Extraction (2015)
ISBN: 9783319697758 bzw. 3319697757, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning. eBook.
Towards Integrative Machine Learning and Knowledge Extraction (2015)
ISBN: 9783319697741 bzw. 3319697749, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning. Soft cover.
Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers (Lecture Notes in Computer Science) (2017)
ISBN: 9783319697758 bzw. 3319697757, in Englisch, 207 Seiten, Springer, neu, Erstausgabe, E-Book, elektronischer Download.
The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning. , Kindle Edition, Ausgabe: 1st ed. 2017, Format: Kindle eBook, Label: Springer, Springer, Produktgruppe: eBooks, Publiziert: 2017-10-27, Freigegeben: 2017-10-27, Studio: Springer.
Towards Integrative Machine Learning and Knowledge Extraction (2017)
ISBN: 9783319697758 bzw. 3319697757, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
The BIRS Workshop "Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets" (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of "hot topics" toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e, to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.
Towards Integrative Machine Learning and Knowledge Extraction (2017)
ISBN: 9783319697758 bzw. 3319697757, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers (Lecture Notes in Computer Science) (2017)
ISBN: 9783319697741 bzw. 3319697749, in Englisch, Springer, Taschenbuch, neu, Erstausgabe.
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Towards Integrative Machine Learning and Knowledge Extraction
ISBN: 9783319697758 bzw. 3319697757, in Deutsch, Springer Nature, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen