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TNN
2010
205views Management» more  TNN 2010»
14 years 5 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
CVPR
2012
IEEE
13 years 26 days ago
Sasaki metrics for analysis of longitudinal data on manifolds
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
Prasanna Muralidharan, P. Thomas Fletcher
ACL
2004
14 years 12 months ago
Optimizing Typed Feature Structure Grammar Parsing through Non-Statistical Indexing
This paper introduces an indexing method based on static analysis of grammar rules and type signatures for typed feature structure grammars (TFSGs). The static analysis tries to p...
Cosmin Munteanu, Gerald Penn
WSC
2001
14 years 11 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor
CLUSTER
2009
IEEE
15 years 3 months ago
Numerically stable, single-pass, parallel statistics algorithms
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...
Janine Bennett, R. Grout, Philippe P. Pébay...