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ACL
2009
15 years 2 months ago
Sentence diagram generation using dependency parsing
Dependency parsers show syntactic relations between words using a directed graph, but comparing dependency parsers is difficult because of differences in theoretical models. We de...
Elijah Mayfield
ISBI
2004
IEEE
16 years 5 months ago
Subspace Models for Functional MRI Data Analysis
The models used for analyzing functional MRI (fMRI) data have profound impact on the detection of active brain areas. In this paper temporal and spatial linear subspace models for...
Ola Friman
ACML
2009
Springer
15 years 11 months ago
Estimating Likelihoods for Topic Models
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Wray L. Buntine
IDEAL
2004
Springer
15 years 10 months ago
Combining Gaussian Mixture Models
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
Hyoungjoo Lee, Sungzoon Cho
ICAPR
2005
Springer
15 years 10 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet