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MLDM
2005
Springer
14 years 1 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé
ECCV
2010
Springer
14 years 1 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
EMNLP
2011
12 years 8 months ago
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
Young-Bum Kim, João Graça, Benjamin ...
BMCBI
2007
157views more  BMCBI 2007»
13 years 8 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
MEDINFO
2007
139views Healthcare» more  MEDINFO 2007»
13 years 9 months ago
Lessons Learned from Cross-Validating Alignments between Large Anatomical Ontologies
Objectives: To compare the alignments of two large anatomical ontologies (the Foundational Model of Anatomy and GALEN) produced by three ontology alignment systems (AOAS, FALCON a...
Songmao Zhang, Olivier Bodenreider