Abstract. This paper proposes to promote constraints to first-class status. In contrast to constraint propagation, which performs inference on values of variables, first-class co...
Today's processors provide a rich source of statistical information on program execution characteristics through hardware counters. However, traditionally, operating system (...
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...
In this paper, we introduce a novel way of performing real-valued optimization in the complex domain. This framework enables a direct complex optimization technique when the cost f...
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...