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» Tackling Large State Spaces in Performance Modelling
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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 10 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
GLVLSI
1998
IEEE
129views VLSI» more  GLVLSI 1998»
15 years 8 months ago
Stochastic Evolution Algorithm For Technology Mapping
A new technology mapper SELF-Map for LookUp Table LUT based Field Programmable Gate Arrays FPGAs is described. SELF-Map is based on the Stochastic Evolution SE algorithm. The stat...
Ahmad S. Al-Mulhem, Alaaeldin Amin, Habib Youssef
ECCV
2010
Springer
15 years 8 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
VLSID
2010
IEEE
170views VLSI» more  VLSID 2010»
14 years 9 months ago
Novel Vth Hopping Techniques for Aggressive Runtime Leakage Contro
The continuous increase of leakage power consumption in deep sub-micro technologies necessitates more aggressive leakage control. Runtime leakage control (RTLC) is effective, si...
Hao Xu, Wen-Ben Jone, Ranga Vemuri
SIGMOD
2011
ACM
170views Database» more  SIGMOD 2011»
14 years 6 months ago
Querying contract databases based on temporal behavior
Considering a broad definition for service contracts (beyond web services and software, e.g. airline tickets and insurance policies), we tackle the challenges of building a high ...
Elio Damaggio, Alin Deutsch, Dayou Zhou