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» Learning a Distance Metric from Relative Comparisons
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SPE
2008
91views more  SPE 2008»
13 years 10 months ago
A multiple layer model to compare RNA secondary structures
composed of various graphs linked together by relations of abstraction/refinement. The new structure is useful for representing information that can be described at t levels of abs...
Julien Allali, Marie-France Sagot
JAIR
2010
131views more  JAIR 2010»
13 years 8 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
CVIU
2011
13 years 1 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...

Publication
118views
14 years 12 months ago
The Minimum Circuity Frontier and the Journey to Work
People travel between places of residence and work destinations via transportation net- works. The relation between selection of home and work locations has been heavily debated ...
Levinson, D. and El-Geneidy A.
BMCBI
2008
114views more  BMCBI 2008»
13 years 10 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson