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JMLR
2008
209views more  JMLR 2008»
15 years 4 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
RSCTC
2004
Springer
144views Fuzzy Logic» more  RSCTC 2004»
15 years 9 months ago
Approximation Spaces and Information Granulation
Abstract. In this paper, we discuss approximation spaces in a granular computing framework. Such approximation spaces generalise the approaches to concept approximation existing in...
Andrzej Skowron, Roman W. Swiniarski, Piotr Synak
BMCBI
2006
116views more  BMCBI 2006»
15 years 4 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
DSN
2007
IEEE
15 years 10 months ago
Concilium: Collaborative Diagnosis of Broken Overlay Routes
In a peer-to-peer overlay network, hosts cooperate to forward messages. When a message does not reach its final destination, there are two possible explanations. An intermediate ...
James W. Mickens, Brian D. Noble
IPMU
2010
Springer
15 years 6 months ago
Using Uncertainty Information to Combine Soft Classifications
The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of ...
Luisa M. S. Gonçalves, Cidália C. Fo...