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NIPS
2004
13 years 11 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 10 months ago
Graph Algorithms for Improving Type-Logical Proof Search
Proof nets are a graph theoretical representation of proofs in various fragments of type-logical grammar. In spite of this basis in graph theory, there has been relatively little ...
Richard Moot
BMCBI
2005
110views more  BMCBI 2005»
13 years 9 months ago
Considerations when using the significance analysis of microarrays (SAM) algorithm
Background: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments...
Ola Larsson, Claes Wahlestedt, James A. Timmons
SLOGICA
2011
13 years 4 months ago
Logics for Qualitative Inductive Generalization
The paper contains a survey of (mainly unpublished) adaptive logics of inductive generalization. These defeasible logics are precise formulations of certain methods. Some attentio...
Diderik Batens
SIAMDM
2010
113views more  SIAMDM 2010»
13 years 4 months ago
The VPN Problem with Concave Costs
We consider the following network design problem. We are given an undirected network with costs on the edges, a set of terminals, and an upper bound for each terminal limiting the ...
Samuel Fiorini, Gianpaolo Oriolo, Laura Sanit&agra...