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DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 9 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
ISBI
2008
IEEE
14 years 8 months ago
Deconvolution of 3D fluorescence micrographs with automatic risk minimization
We investigate the problem of automatic tuning of a deconvolution algorithm for three-dimensional (3D) fluorescence microscopy; specifically, the selection of the regularization p...
Sathish Ramani, Cédric Vonesch, Michael Uns...
ASYNC
1999
IEEE
110views Hardware» more  ASYNC 1999»
14 years 9 days ago
Behavioral Transformations to Increase Noise Immunity in Asynchronous Specifications
Noise immunity is becomingone of the most important design parameters for deep-sub-micron (DSM) technologies. Asynchronous circuits seem to be a good candidate to alleviate the pr...
Alexander Taubin, Alex Kondratyev, Jordi Cortadell...
NECO
2010
97views more  NECO 2010»
13 years 6 months ago
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto...
IJCNN
2008
IEEE
14 years 2 months ago
Robust modular ARTMAP for multi-class shape recognition
— This paper presents a Fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as Modular Adaptive Resonance Theory Map (MARTMAP). The prediction...
Chue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee ...