|
Showing 1 - 6 of
6 matches in All Departments
The overwhelming data produced everyday and the increasing
performance and cost requirements of applicationsĀ are
transversal to a wide range of activities in society, from science
to industry. In particular, the magnitude and complexity of the
tasks that Machine Learning (ML) algorithms have to solve are
driving the need to devise adaptive many-core machines that scale
well with the volume of data, or in other words, can handle Big
Data. This book gives a concise view on how to extend the
applicability of well-known ML algorithms in Graphics Processing
Unit (GPU) with data scalability in mind. It presents a series of
new techniques to enhance, scale and distribute data in a Big
Learning framework. It is not intended to be a comprehensive survey
of the state of the art of the whole field of machine learning for
Big Data. Its purpose is less ambitious and more practical: to
explain and illustrate existing and novel GPU-based ML algorithms,
not viewed as a universal solution for the Big Data challenges but
rather as part of the answer, which may require the use of
different strategies coupled together.
The overwhelming data produced everyday and the increasing
performance and cost requirements of applicationsare transversal to
a wide range of activities in society, from science to industry. In
particular, the magnitude and complexity of the tasks that Machine
Learning (ML) algorithms have to solve are driving the need to
devise adaptive many-core machines that scale well with the volume
of data, or in other words, can handle Big Data.
This book gives a concise view on how to extend the
applicability of well-known ML algorithms in Graphics Processing
Unit (GPU) with data scalability in mind. It presents a series of
new techniques to enhance, scale and distribute data in a Big
Learning framework. It is not intended to be a comprehensive survey
of the state of the art of the whole field of machine learning for
Big Data. Its purpose is less ambitious and more practical: to
explain and illustrate existing and novel GPU-based ML algorithms,
not viewed as a universal solution for the Big Data challenges but
rather as part of the answer, which may require the use of
different strategies coupled together."
|
Progress in Artificial Intelligence - 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31-September 2, 2022, Proceedings (Paperback, 1st ed. 2022)
Goreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha
|
R1,729
Discovery Miles 17 290
|
Ships in 10 - 15 working days
|
This book constitutes the proceedings of the 21st EPIA Conference
on Artificial Intelligence, EPIA 2022, which took place in Lisbon,
Portugal, in August/September 2022. The 64 papers presented in this
volume were carefully reviewed and selected from 85 submissions.
They were organized in topical sections as follows: AI4IS -
Artificial Intelligence for Industry and Societies; AIL -
Artificial Intelligence and Law; AIM - Artificial Intelligence in
Medicine; AIPES - Artificial Intelligence in Power and Energy
Systems; AITS - Artificial Intelligence in Transportation Systems;
AmIA - Ambient Intelligence and Affective Environments; GAI -
General AI; IROBOT - Intelligent Robotics; KDBI - Knowledge
Discovery and Business Intelligence; KRR - Knowledge Representation
and Reasoning; MASTA - Multi-Agent Systems: Theory and
Applications; TeMA - Text Mining and Applications.
|
Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part I (Paperback, 1st ed. 2019)
Aythami Morales, Julian Fierrez, Jose Salvador Sanchez, Bernardete Ribeiro
|
R1,675
Discovery Miles 16 750
|
Ships in 10 - 15 working days
|
This 2-volume set constitutes the refereed proceedings of the 9th
Iberian Conference on Pattern Recognition and Image Analysis,
IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in
these volumes were carefully reviewed and selected from 137
submissions. They are organized in topical sections named: Part I:
best ranked papers; machine learning; pattern recognition; image
processing and representation. Part II: biometrics; handwriting and
document analysis; other applications.
|
Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II (Paperback, 1st ed. 2019)
Aythami Morales, Julian Fierrez, Jose Salvador Sanchez, Bernardete Ribeiro
|
R2,530
Discovery Miles 25 300
|
Ships in 10 - 15 working days
|
This 2-volume set constitutes the refereed proceedings of the 9th
Iberian Conference on Pattern Recognition and Image Analysis,
IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in
these volumes were carefully reviewed and selected from 137
submissions. They are organized in topical sections named: Part I:
best ranked papers; machine learning; pattern recognition; image
processing and representation. Part II: biometrics; handwriting and
document analysis; other applications.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|