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MICRO
2006
IEEE
159views Hardware» more  MICRO 2006»
14 years 9 months ago
MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits
Shrinking devices to the nanoscale, increasing integration densities, and reducing of voltage levels down to the thermal limit, all conspire to produce faulty systems. Frequent oc...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
NETWORK
2008
233views more  NETWORK 2008»
14 years 8 months ago
WhozThat? evolving an ecosystem for context-aware mobile social networks
One of the most compelling social questions, which until now was left unanswered by current technology, is "Who's that?" This question is usually asked about a new ...
Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack E...
FUIN
2008
108views more  FUIN 2008»
14 years 8 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
AAAI
2011
13 years 9 months ago
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...
Paolo Viappiani, Craig Boutilier
IJON
2007
120views more  IJON 2007»
14 years 9 months ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...