In previous work we showed, by Walsh analysis, that summary statistics such as mean, variance, skew, and higher order statistics can be computed in polynomial time for embedded la...
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
As multicore systems continue to gain ground in the High Performance Computing world, linear algebra algorithms have to be reformulated or new algorithms have to be developed in or...
Alfredo Buttari, Julien Langou, Jakub Kurzak, Jack...
Sequence labeling is the task of assigning a label sequence to an observation sequence. Since many methods to solve this problem depend on the specification of predictive features...
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...