We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
: This paper deals with the use of learning styles in technology-enhanced learning, by introducing a so-called "Unified Learning Style Model" (ULSM). The article aims at ...
A central question in designing server farms today is how to efficiently provision the number of servers to extract the best performance under unpredictable demand patterns while ...
Anshul Gandhi, Varun Gupta, Mor Harchol-Balter, Mi...
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...
The Web has the potential to become the world’s
largest knowledge base. In order to unleash this potential,
the wealth of information available on the Web needs to be
extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...