For bounded datasets such as the TREC Web Track (WT10g) the computation of term frequency (TF) and inverse document frequency (IDF) is not difficult. However, when the corpus is th...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Abstract. This paper introduces our method for causal knowledge retrieval from the Internet resources, its results and evaluation of using it in utterance creation process. Our sys...
The prevailing model for digital preservation is that archives should be similar to a “fortress”: a large, protective infrastructure built to defend a relatively small collect...
There exist numerous systems for mining the web in search of relevant information but few exist for the discovery of interesting information. The discovery of interesting informat...