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EENERGY
2010
15 years 6 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
AI50
2006
15 years 6 months ago
Intrinsically Motivated Machines
Abstract. Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. I...
Frédéric Kaplan, Pierre-Yves Oudeyer
99
Voted
EWCBR
2004
Springer
15 years 7 months ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl
SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
13 years 4 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
ICANN
2005
Springer
15 years 7 months ago
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...