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EDBT
2008
ACM
85views Database» more  EDBT 2008»
16 years 4 months ago
Optimizing on-demand data broadcast scheduling in pervasive environments
Data dissemination in pervasive environments is often accomplished by on-demand broadcasting. The time critical nature of the data requests plays an important role in scheduling t...
Rinku Dewri, Indrakshi Ray, Indrajit Ray, Darrell ...
HPDC
2005
IEEE
15 years 10 months ago
Adaptive data block scheduling for parallel TCP streams
Applications that use parallel TCP streams to increase throughput must multiplex and demultiplex data blocks over a set of TCP streams transmitting on one or more network paths. W...
Thomas J. Hacker, Brian D. Noble, Brian D. Athey
ALT
2006
Springer
16 years 1 months ago
Smooth Boosting Using an Information-Based Criterion
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
Kohei Hatano
NIPS
2004
15 years 6 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
ICML
2007
IEEE
16 years 5 months ago
Cluster analysis of heterogeneous rank data
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...
Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann