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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 8 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
ICIP
2007
IEEE
14 years 9 months ago
Design of an Active Set Top Box in a Wireless Network for Scalable Streaming Services
The popularity of multimedia streaming services via wireless home networks has confronted major challenges in quality improvement for services through a set top box (STB). Even th...
Heung Ki Lee, Varrian Hall, Ki Hwan Yum, Kyoung Il...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
14 years 8 months ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 2 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
ICCV
2009
IEEE
13 years 5 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...