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» Interpreting dreams of abstract machines
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MICCAI
2010
Springer
14 years 9 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
PERCOM
2010
ACM
14 years 9 months ago
Towards the Web of Things: Using DPWS to bridge isolated OSGi platforms
Abstract—Bringing heterogeneous devices like industrial machines, home appliances, and wireless sensors into the Web assumes the usage of well-defined standards and protocols. O...
Oliver Dohndorf, Jan Krüger, Heiko Krumm, Chr...
COMPLIFE
2006
Springer
15 years 2 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
ESANN
2006
15 years 15 hour ago
Classification by means of Evolutionary Response Surfaces
Abstract. Response surfaces are a powerful tool for both classification and regression as they are able to model many different phenomena and construct complex boundaries between c...
Rafael del Castillo Gomariz, Nicolás Garc&i...
ICML
2005
IEEE
15 years 11 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski