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» Estimating Likelihoods for Topic Models
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CMPB
2007
83views more  CMPB 2007»
13 years 10 months ago
A SAS macro for parametric and semiparametric mixture cure models
: Cure models have been developed to analyze failure time data with a cured fraction. For such data, standard survival models are usually not appropriate because they do not accoun...
Fabien Corbière, Pierre Joly
CIKM
2010
Springer
13 years 8 months ago
Term necessity prediction
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
Le Zhao, Jamie Callan
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
14 years 4 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
ISMAR
2007
IEEE
14 years 4 months ago
Initialisation for Visual Tracking in Urban Environments
Outdoor augmented reality systems often rely on GPS to cover large environments. Visual tracking approaches can provide more accurate location estimates but typically require a ma...
Gerhard Reitmayr, Tom Drummond
TMI
2002
113views more  TMI 2002»
13 years 9 months ago
Spatiotemporal reconstruction of list mode PET data
We describe a method for computing a continuous time estimate of tracer density using list-mode positron emission tomography data. The rate function in each voxel is modeled as an ...
Thomas E. Nichols, Jinyi Qi, Evren Asma, Richard M...