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NIPS
2008
13 years 12 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
NIPS
2008
13 years 12 months ago
Characterizing neural dependencies with copula models
The coding of information by neural populations depends critically on the statistical dependencies between neuronal responses. However, there is no simple model that can simultane...
Pietro Berkes, Frank Wood, Jonathan Pillow
CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 10 months ago
Catching Up Faster by Switching Sooner: A Prequential Solution to the AIC-BIC Dilemma
Bayesian model averaging, model selection and its approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other m...
Tim van Erven, Peter Grünwald, Steven de Rooi...
HIPC
2009
Springer
13 years 8 months ago
Group file operations for scalable tools and middleware
Group file operations are a new, intuitive idiom for tools and middleware - including parallel debuggers and runtimes, performance measurement and steering, and distributed resourc...
Michael J. Brim, Barton P. Miller
EUROCRYPT
2009
Springer
14 years 11 months ago
Order-Preserving Symmetric Encryption
We initiate the cryptographic study of order-preserving symmetric encryption (OPE), a primitive suggested in the database community by Agrawal et al. (SIGMOD '04) for allowin...
Alexandra Boldyreva, Nathan Chenette, Younho Lee, ...