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EENERGY
2010
15 years 11 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,...
ECTEL
2006
Springer
15 years 11 months ago
Getting to Know Your Student in Distance Learning Contexts
Abstract. Good teachers know their students, and exploit this knowledge to adapt or optimise their instruction. Teachers know their students because they interact with them face-to...
Claus Zinn, Oliver Scheuer
ATAL
2008
Springer
15 years 9 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp
CIA
2007
Springer
16 years 1 months ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
16 years 7 days ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley