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» Approximate algorithms for neural-Bayesian approaches
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ICCBR
2005
Springer
15 years 3 months ago
P2P Case Retrieval with an Unspecified Ontology
Traditional CBR approaches imply centralized storage of the case base and, most of them, the retrieval of similar cases by an exhaustive comparison of the case to be solved with th...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
GLOBECOM
2007
IEEE
15 years 4 months ago
Capacity and Fairness of MIMO Broadcast Algorithms in Shadow Fading Environments
Abstract— For MIMO broadcast systems the effects of shadowing on the channel capacity and the fairness of the system in sharing the resources amongst multiple users are important...
Timothy W. King, Peter J. Smith, Lee M. Garth
CORR
2012
Springer
235views Education» more  CORR 2012»
13 years 5 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
DAC
2005
ACM
15 years 10 months ago
Segregation by primary phase factors: a full-wave algorithm for model order reduction
Existing Full-wave Model Order Reduction (FMOR) approaches are based on Expanded Taylor Series Approximations (ETAS) of the oscillatory full-wave system matrix. The accuracy of su...
Thomas J. Klemas, Luca Daniel, Jacob K. White
CSDA
2006
82views more  CSDA 2006»
14 years 9 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin