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» Graph-based transfer learning
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145
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JBCB
2010
138views more  JBCB 2010»
14 years 9 months ago
Hierarchical Classification of Gene Ontology Terms Using the Gostruct Method
Protein function prediction is an active area of research in bioinformatics. And yet, transfer of annotation on the basis of sequence or structural similarity remains widely used ...
Artem Sokolov, Asa Ben-Hur
221
Voted
SIGECOM
2011
ACM
259views ECommerce» more  SIGECOM 2011»
14 years 5 months ago
Designing adaptive trading agents
ended abstract summarizes the research presented in Dr. Pardoe’s recently-completed Ph.D. thesis [Pardoe 2011]. The thesis considers how adaptive trading agents can take advantag...
David Pardoe, Peter Stone
142
Voted
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 3 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
112
Voted
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
15 years 8 months ago
Sound Localization for Humanoid Robots - Building Audio-Motor Maps based on the HRTF
— Being able to localize the origin of a sound is important for our capability to interact with the environment. Humans can localize a sound source in both the horizontal and ver...
Jonas Hörnstein, Manuel Lopes, José Sa...
147
Voted
ICML
2008
IEEE
16 years 3 months ago
On partial optimality in multi-label MRFs
We consider the problem of optimizing multilabel MRFs, which is in general NP-hard and ubiquitous in low-level computer vision. One approach for its solution is to formulate it as...
Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rot...