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» Learning a Distance Metric from Relative Comparisons
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SPE
2008
91views more  SPE 2008»
14 years 11 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»
14 years 10 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
14 years 3 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
16 years 1 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»
14 years 12 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