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» Dynamic power management using machine learning
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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 9 days ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
103
Voted
ICML
2006
IEEE
16 years 21 days ago
On Bayesian bounds
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
Arindam Banerjee
EENERGY
2010
15 years 3 months ago
Statistical static capacity management in virtualized data centers supporting fine grained QoS specification
From an ecological but also from an economical and in the meantime a technical view the fast ongoing increase of power consumption in today’s data centers is no longer feasible....
Marko Hoyer, Kiril Schröder, Wolfgang Nebel
LCTRTS
2004
Springer
15 years 5 months ago
Dynamic voltage scaling for real-time multi-task scheduling using buffers
This paper proposes energy efficient real-time multi-task scheduling (EDF and RM) algorithms by using buffers. The buffering technique overcomes a drawback of previous approaches ...
Chaeseok Im, Soonhoi Ha
ATAL
2006
Springer
15 years 3 months ago
Reinforcement learning for declarative optimization-based drama management
A long-standing challenge in interactive entertainment is the creation of story-based games with dynamically responsive story-lines. Such games are populated by multiple objects a...
Mark J. Nelson, David L. Roberts, Charles Lee Isbe...