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Exploiting Patterns for Handling Incomplete Coevolving EEG Time Series

Ngoc Anh Nguyen Thi, Hyung-Jeong Yang, Sun-Hee Kim
2013 International Journal of Contents  
Current methodologies for EEG analysis require a complete set of EEG data matrix as input.  ...  Therefore, an accurate and reliable imputation approach for missing values is necessary to avoid incomplete data sets for analyses and further improve the usage of performance techniques.  ...  [15] proposes an incremental approach by updating the weights of PCA for every new data and the expectation-maximization to recover missing values.  ... 
doi:10.5392/ijoc.2013.9.4.001 fatcat:74jo34altfe2jibxwqzs2zlfoq

The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science

Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford, Joshua B. Tenenbaum
2011 Behavioral and Brain Sciences  
We lay out several means for such an integration, which take into account the representations on which Bayesian inference operates, as well as the algorithms and heuristics that carry it out.  ...  Specifically, rational Bayesian models are significantly unconstrained, both because they are uninformed by a wide range of process-level data and because their assumptions about the environment are generally  ...  The crucial point is that in this general setup, we can always choose the values v j to make any sequence of responses x t conform to that of a maximizer of subjective expected utility.  ... 
doi:10.1017/s0140525x11000239 fatcat:spa6vwghifdfjonvjffbebdv5i

Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition

Matt Jones, Bradley C. Love
2011 Behavioral and Brain Sciences  
We lay out several means for such an integration, which take into account the representations on which Bayesian inference operates, as well as the algorithms and heuristics that carry it out.  ...  Specifically, rational Bayesian models are significantly unconstrained, both because they are uninformed by a wide range of process-level data and because their assumptions about the environment are generally  ...  The crucial point is that in this general setup, we can always choose the values v j to make any sequence of responses x t conform to that of a maximizer of subjective expected utility.  ... 
doi:10.1017/s0140525x10003134 pmid:21864419 fatcat:vdrc6bzpyzfohbzk3j7eagfw5m