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JCNS
2010
104views more  JCNS 2010»
15 years 5 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
ICALP
2007
Springer
16 years 22 days ago
Bounded Depth Data Trees
A data tree is a tree where each node has a label from a finite set, and a data value from a possibly infinite set. We consider data trees whose depth is bounded beforehand. By d...
Henrik Björklund, Mikolaj Bojanczyk
MIDDLEWARE
2004
Springer
15 years 12 months ago
Meghdoot: Content-Based Publish/Subscribe over P2P Networks
Publish/Subscribe systems have become a prevalent model for delivering data from producers (publishers) to consumers (subscribers) distributed across wide-area networks while decou...
Abhishek Gupta, Ozgur D. Sahin, Divyakant Agrawal,...
TMI
2010
182views more  TMI 2010»
15 years 5 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
BIRTHDAY
2004
Springer
15 years 10 months ago
On Model Checking Data-Independent Systems with Arrays with Whole-Array Operations
Abstract. We consider programs which are data independent with respect to two type variables X and Y , and can in addition use arrays indexed by X and storing values from Y . We ar...
Ranko Lazic, Thomas Christopher Newcomb, A. W. Ros...