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» Using Prior Knowledge to Improve Distributed Hill Climbing
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 8 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
KCAP
2003
ACM
14 years 23 days ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos
ICS
2009
Tsinghua U.
14 years 2 months ago
MPI-aware compiler optimizations for improving communication-computation overlap
Several existing compiler transformations can help improve communication-computation overlap in MPI applications. However, traditional compilers treat calls to the MPI library as ...
Anthony Danalis, Lori L. Pollock, D. Martin Swany,...
JMLR
2012
11 years 10 months ago
Exploiting Unrelated Tasks in Multi-Task Learning
We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...
Bernardino Romera-Paredes, Andreas Argyriou, Nadia...
ACL
2006
13 years 9 months ago
Prototype-Driven Grammar Induction
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...
Aria Haghighi, Dan Klein