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JMLR
2006
169views more  JMLR 2006»
13 years 6 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
MIDDLEWARE
2004
Springer
13 years 11 months ago
A grid service broker for scheduling distributed data-oriented applications on global grids
: The next generation of scientific experiments and studies, popularly called as e-Science, is carried out by large collaborations of researchers distributed around the world engag...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton
INFOCOM
1998
IEEE
13 years 10 months ago
An Error Control Scheme for Large-Scale Multicast Applications
Retransmission based error control for large scale multicast applications is difficult because of implosion and exposure. Existing schemes (SRM, RMTP, TMTP, LBRRM) have good solut...
Christos Papadopoulos, Guru M. Parulkar, George Va...
CONCURRENCY
2006
142views more  CONCURRENCY 2006»
13 years 6 months ago
A Grid service broker for scheduling e-Science applications on global data Grids
: The next generation of scientific experiments and studies, popularly called e-Science, is carried out by large collaborations of researchers distributed around the world engaged ...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton
INFOCOM
2006
IEEE
14 years 8 days ago
JetMax: Scalable Max-Min Congestion Control for High-Speed Heterogeneous Networks
Recent surge of interest towards congestion control that relies on single-link feedback (e.g., XCP, RCP, MaxNet, EMKC, VCP), suggests that such systems may offer certain benefit...
Yueping Zhang, Derek Leonard, Dmitri Loguinov