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AIM
2011
14 years 10 months ago
Transfer Learning by Reusing Structured Knowledge
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz H...
ICML
2007
IEEE
16 years 7 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen
PLDI
1995
ACM
15 years 10 months ago
APT: A Data Structure for Optimal Control Dependence Computation
The control dependence relation is used extensively in restructuring compilers. This relation is usually represented using the control dependence graph; unfortunately, the size of...
Keshav Pingali, Gianfranco Bilardi
190
Voted
LREC
2010
144views Education» more  LREC 2010»
15 years 8 months ago
Mapping between Dependency Structures and Compositional Semantic Representations
This paper investigates the mapping between two semantic formalisms, namely the tectogrammatical layer of the Prague Dependency Treebank 2.0 (PDT) and (Robust) Minimal Recursion S...
Max Jakob, Markéta Lopatková, Valia ...
ICML
2009
IEEE
16 years 7 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer