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CSDA
2006
94views more  CSDA 2006»
15 years 7 months ago
The nature of sensitivity in monotone missing not at random models
Models for incomplete longitudinal data under missingness not at random have gained some popularity. At the same time, cautionary remarks have been issued regarding their sensitiv...
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aer...
ML
2008
ACM
15 years 7 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
CAS
2004
104views more  CAS 2004»
15 years 7 months ago
Why Model?
This lecture treats some enduring misconceptions about modeling. One of these is that the goal is always prediction. The lecture distinguishes between explanation and prediction a...
S. E. van der Leeuw
MICCAI
2007
Springer
16 years 8 months ago
Hyperspherical von Mises-Fisher Mixture (HvMF) Modelling of High Angular Resolution Diffusion MRI
A mapping of unit vectors onto a 5D hypersphere is used to model and partition ODFs from HARDI data. This mapping has a number of useful and interesting properties and we make a li...
Abhir Bhalerao, Carl-Fredrik Westin
CAIP
2009
Springer
117views Image Analysis» more  CAIP 2009»
16 years 1 months ago
A Hypergraph-Based Model for Graph Clustering: Application to Image Indexing
Abstract. In this paper, we introduce a prototype-based clustering algorithm dealing with graphs. We propose a hypergraph-based model for graph data sets by allowing clusters overl...
Salim Jouili, Salvatore Tabbone