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NIPS
2003
14 years 11 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
COGSCI
2010
87views more  COGSCI 2010»
14 years 8 months ago
The Logical Problem of Language Acquisition: A Probabilistic Perspective
Natural language is full of patterns that appear to fit with general linguistic rules but are ungrammatical. There has been much debate over how children acquire these ‘‘ling...
Anne S. Hsu, Nick Chater
SIGMETRICS
2005
ACM
102views Hardware» more  SIGMETRICS 2005»
15 years 3 months ago
A statistical framework for efficient monitoring of end-to-end network properties
Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide measures ...
David B. Chua, Eric D. Kolaczyk, Mark Crovella
BMCBI
2007
127views more  BMCBI 2007»
14 years 9 months ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
DAC
2008
ACM
15 years 10 months ago
The synthesis of robust polynomial arithmetic with stochastic logic
As integrated circuit technology plumbs ever greater depths in the scaling of feature sizes, maintaining the paradigm of deterministic Boolean computation is increasingly challeng...
Weikang Qian, Marc D. Riedel