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RECOMB
2008
Springer
16 years 7 months ago
Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing
We report on a new algorithm for combining the information from several mass spectra of the same peptide. The algorithm automatically learns peptide fragmentation patterns, so that...
Ritendra Datta, Marshall W. Bern
PAMI
2010
181views more  PAMI 2010»
15 years 5 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
ICDE
2006
IEEE
95views Database» more  ICDE 2006»
16 years 8 months ago
Learning from Aggregate Views
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...
SSPR
2004
Springer
15 years 12 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
ICANN
2009
Springer
15 years 11 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola