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ACL
2010
15 years 28 days ago
Distributional Similarity vs. PU Learning for Entity Set Expansion
Distributional similarity is a classic technique for entity set expansion, where the system is given a set of seed entities of a particular class, and is asked to expand the set u...
Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng
SODA
1998
ACM
113views Algorithms» more  SODA 1998»
15 years 4 months ago
Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
David Eppstein
GRID
2004
Springer
15 years 8 months ago
From Sandbox to Playground: Dynamic Virtual Environments in the Grid
Much experience has been gained with the protocols and mechanisms needed for discovery and allocation of remote computational resources. However, the preparation of a remote compu...
Katarzyna Keahey, Karl Doering, Ian T. Foster
102
Voted
ICMLA
2008
15 years 4 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
ICML
2010
IEEE
15 years 4 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...