Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
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...
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
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...
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...