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» A Probability Model for Combining Ranks
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ICDAR
2003
IEEE
15 years 9 months ago
A Multiclass Classification Method Based on Multiple Pairwise Classifiers
In this paper, a new method of composing a multiclass classifier using pairwise classifiers is proposed. A “Resemblance Model” is exploited to calculate a posteriori probabili...
Tomoyuki Hamamura, Hiroyuki Mizutani, Bunpei Irie
CSDA
2010
91views more  CSDA 2010»
15 years 4 months ago
Default Bayesian model determination methods for generalised linear mixed models
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification and computation. In pa...
Antony M. Overstall, Jonathan J. Forster
SODA
2004
ACM
144views Algorithms» more  SODA 2004»
15 years 5 months ago
Covering minimum spanning trees of random subgraphs
We consider the problem of finding a sparse set of edges containing the minimum spanning tree (MST) of a random subgraph of G with high probability. The two random models that we ...
Michel X. Goemans, Jan Vondrák
BIBE
2007
IEEE
169views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Combining Semantics, Context, and Statistical Evidence in Genomics Literature Search
—We present an information retrieval model for combining evidence from concept-based semantics, term statistics, and context for improving search precision of genomics literature...
Jay Urbain, Nazli Goharian, Ophir Frieder
ML
2008
ACM
134views Machine Learning» more  ML 2008»
15 years 3 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...