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ICML
2008
IEEE
16 years 6 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
WWW
2003
ACM
16 years 6 months ago
Integrating Adaptive Hypermedia Techniques and Open RDF-based Environments
The World Wide Web has not only revolutionized the area of traditional hypermedia, it is also starting to influence adaptive hypermedia research. The main feature of the World Wid...
Peter Dolog, Rita Gavriloaie, Wolfgang Nejdl, Jan ...
RECOMB
2006
Springer
16 years 6 months ago
Markov Additive Chains and Applications to Fragment Statistics for Peptide Mass Fingerprinting
Abstract. Peptide mass fingerprinting is a technique to identify a protein from its fragment masses obtained by mass spectrometry after enzymatic digestion. Recently, much attentio...
Hans-Michael Kaltenbach, Sebastian Böcker, Sv...
PERCOM
2007
ACM
16 years 5 months ago
XCML: A Runtime Representation for the Context Modelling Language
The Context Modelling Language (CML), derived from Object Role Modeling (ORM), is a powerful approach for capturing the pertinent object types and relationships between those type...
Ricky Robinson, Karen Henricksen, Jadwiga Indulska
CVPR
2010
IEEE
16 years 2 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan