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NIPS
2000
15 years 8 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
ECAI
2010
Springer
15 years 7 months ago
Propagation of Opinions in Structural Graphs
Trust and reputation measures are crucial in distributed open systems where agents need to decide whom or what to choose. Existing work has mainly focused on the reputation of sing...
Nardine Osman, Carles Sierra, Jordi Sabater-Mir
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 7 months ago
Aiming for a theoretically tractable CSA variant by means of empirical investigations
Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
Jens Jägersküpper, Mike Preuss
CONCUR
2010
Springer
15 years 6 months ago
Conditional Automata: A Tool for Safe Removal of Negligible Events
Abstract. Polynomially accurate simulations [19] are relations for Probabilistic Automata that require transitions to be matched up to negligible sets provided that computation len...
Roberto Segala, Andrea Turrini
ICASSP
2010
IEEE
15 years 6 months ago
Outage-optimal transmission in multiuser-MIMO Kronecker channels
In this work, we look at single user and multiuser Multiple-Input Multiple-Output (MIMO) beamforming networks with Channel Distribution Information (CDI). CDI does not need to be ...
Sagnik Ghosh, Bhaskar D. Rao, James R. Zeidler