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» Learning Instance-Specific Predictive Models
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KES
2006
Springer
13 years 8 months ago
DAWN - A System for Context-Based Link Recommendation in Web Navigation
Abstract. We have developed the system "DAWN" (direction anticipation in web navigation) that learns navigational patterns to help users navigating through the world wide...
Sebastian Stober, Andreas Nürnberger
RECOMB
2002
Springer
14 years 9 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
ICASSP
2008
IEEE
14 years 3 months ago
French prominence: A probabilistic framework
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
Nicolas Obin, Xavier Rodet, Anne Lacheret-Dujour
UAI
2008
13 years 10 months ago
Latent Topic Models for Hypertext
Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
NCA
2008
IEEE
13 years 8 months ago
A Bradley-Terry artificial neural network model for individual ratings in group competitions
A common statistical model for paired comparisons is the Bradley-Terry model. This research re-parameterizes the Bradley-Terry model as a single-layer artificial neural network (A...
Joshua E. Menke, Tony R. Martinez