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ICPR
2010
IEEE
15 years 8 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
ACL
2008
15 years 8 months ago
Analyzing the Errors of Unsupervised Learning
We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...
Percy Liang, Dan Klein
LREC
2008
103views Education» more  LREC 2008»
15 years 8 months ago
Learning the Species of Biomedical Named Entities from Annotated Corpora
In biomedical articles, terms with the same surface forms are often used to refer to different entities across a number of model organisms, in which case determining the species b...
Xinglong Wang, Claire Grover
MEDINFO
2007
139views Healthcare» more  MEDINFO 2007»
15 years 8 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
NIPS
2007
15 years 8 months ago
Learning with Tree-Averaged Densities and Distributions
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
Sergey Kirshner