Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
: Nowadays, a central topic in database science is the need of an integrated access to large amounts of data provided by various information sources whose contents are strictly rel...
In this paper we propose a new packet classification algorithm, which can substantially improve the performance of a classifier by decreasing the rulebase lookup latency. The algor...
Lynn Choi, Jaesung Heo, Hyogon Kim, Jinoo Joung, S...
Mass, multi-channel, network access to information requires a solution of several problems related to proper information delivery, including an important problem of adjusting data...