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ACSAC
2004
IEEE
13 years 11 months ago
Reasoning About Complementary Intrusion Evidence
This paper presents techniques to integrate and reason about complementary intrusion evidence such as alerts generated by intrusion detection systems (IDSs) and reports by system ...
Yan Zhai, Peng Ning, Purush Iyer, Douglas S. Reeve...
ICTAI
2006
IEEE
14 years 1 months ago
Belief Update in Bayesian Networks Using Uncertain Evidence
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...
Rong Pan, Yun Peng, Zhongli Ding
EMNLP
2007
13 years 8 months ago
LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
Semantic inference is a core component of many natural language applications. In response, several researchers have developed algorithms for automatically learning inference rules...
Rahul Bhagat, Patrick Pantel, Eduard H. Hovy
JMLR
2010
106views more  JMLR 2010»
13 years 2 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
ICASSP
2010
IEEE
13 years 7 months ago
Alpha-integration of multiple evidence
In pattern recognition, data integration is a processing method to combine multiple sources so that the combined result can be more accurate than a single source. Evidence theory ...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck...