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106
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ICML
2008
IEEE
16 years 13 days ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
BIOADIT
2004
Springer
15 years 3 months ago
An Artificial Immune System Approach to Misbehavior Detection in Mobile Ad Hoc Networks
Abstract. In mobile ad-hoc networks, nodes act both as terminals and information relays, and participate in a common routing protocol, such as Dynamic Source Routing (DSR). The net...
Jean-Yves Le Boudec, Slavisa Sarafijanovic
SIGMOD
2004
ACM
100views Database» more  SIGMOD 2004»
15 years 11 months ago
Cost-Based Labeling of Groups of Mass Spectra
We make two main contributions in this paper. First, we motivate and introduce a novel class of data mining problems that arise in labeling a group of mass spectra, specifically f...
Lei Chen 0003, Zheng Huang, Raghu Ramakrishnan
93
Voted
WWW
2006
ACM
16 years 8 days ago
Position paper: ontology construction from online ontologies
One of the main hurdles towards a wide endorsement of ontologies is the high cost of constructing them. Reuse of existing ontologies offers a much cheaper alternative than buildin...
Harith Alani
GLOBECOM
2010
IEEE
14 years 9 months ago
Predicting Critical Intradomain Routing Events
Network equipments generate an overwhelming number of reports and alarms every day, but only a small fraction of these alarms require the intervention of network operators. Our goa...
Amelie Medem Kuatse, Renata Teixeira, Nicolas Usun...