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DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 1 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
16 years 16 days 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»
15 years 4 months 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»
14 years 10 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
15 years 6 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 ...