Autonomous mobile robots are considered a valuable technology for search and rescue applications, where an initially unknown environment has to be explored to locate human victims...
Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation, and analysis of TCP throug...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
Control methods are being used increasingly for uncertainty management and QoS in modern web server systems. Previous approaches have suggested combined feedforward and feedback c...