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NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 13 days ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
CONEXT
2010
ACM
13 years 6 months ago
The Internet is flat: modeling the transition from a transit hierarchy to a peering mesh
Recent measurements and anecdotal evidence indicate that the Internet ecosystem is rapidly evolving from a multi-tier hierarchy built mostly with transit (customer-provider) links...
Amogh Dhamdhere, Constantine Dovrolis
GLOBECOM
2008
IEEE
14 years 2 months ago
Understanding P2P-TV Systems Through Real Measurements
—In this paper, we consider two popular peer-to-peer TV (P2P-TV) systems: PPLive, one of the today most widely used P2P-TV systems, and Joost, a promising new generation applicat...
Delia Ciullo, Marco Mellia, Michela Meo, Emilio Le...
DEXAW
2008
IEEE
243views Database» more  DEXAW 2008»
14 years 2 months ago
Elastic Lists for Facet Browsing and Resource Analysis in the Enterprise
Information management and content governance in large corporations is an ongoing challenge. As a case study, we present the adaptation of the elastic lists facet browser for brow...
Moritz Stefaner, Thomas Urban, Marc Seefelder
SUTC
2008
IEEE
14 years 2 months ago
Effective Feature Space Reduction with Imbalanced Data for Semantic Concept Detection
Semantic understanding of multimedia content has become a very popular research topic in recent years. Semantic concept detection algorithms face many challenges such as the seman...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen