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ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 2 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
ICCAD
2003
IEEE
161views Hardware» more  ICCAD 2003»
16 years 3 months ago
A General S-Domain Hierarchical Network Reduction Algorithm
This paper presents an efficient method to reduce complexities of a linear network in s-domain. The new method works on circuit matrices directly and reduces the circuit complexi...
Sheldon X.-D. Tan
ICIW
2008
IEEE
16 years 1 months ago
Governed Content Distribution on DHT Based Networks
Abstract—Peer-to-Peer (P2P) systems are widely used for sharing digital items without structured metadata and in absence of any kind of digital rights management applied to the d...
Walter Allasia, Francesco Gallo, Marco Milanesio, ...
INFOCOM
2008
IEEE
16 years 1 months ago
Maximizing Resilient Throughput in Peer-to-Peer Network: A Generalized Flow Approach
—A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to ...
Bin Chang, Yi Cui, Yuan Xue
BROADNETS
2006
IEEE
16 years 21 days ago
Dynamic Wavelength Assignment Using Wavelength Spectrum Separation for Crosstalk Limited Networks
— As an optical signal propagates along a lightpath to its destination in wavelength-routed optical networks (WRONs), the quality of service (QoS) will be degraded by transmissio...
Jun He, Maïté Brandt-Pearce