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» Learning to Align: A Statistical Approach
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ICASSP
2011
IEEE
14 years 3 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
ILP
2007
Springer
15 years 6 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
WILF
2007
Springer
170views Fuzzy Logic» more  WILF 2007»
15 years 6 months ago
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
ETS
2002
IEEE
92views Hardware» more  ETS 2002»
14 years 11 months ago
Technological and Pedagogical Convergence between Work-based and Campus-based Learning
There is a strong technological and economic push for higher education providers to adopt online learning strategies. This is driven, in part, by the requirement of industry for l...
David F. Radcliffe
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 3 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...