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TIT
2002
81views more  TIT 2002»
15 years 1 months ago
Multicast topology inference from measured end-to-end loss
Abstract--The use of multicast inference on end-to-end measurement has recently been proposed as a means to infer network internal characteristics such as packet link loss rate and...
Nick G. Duffield, Joseph Horowitz, Francesco Lo Pr...
UAI
2003
15 years 3 months ago
An Empirical Study of w-Cutset Sampling for Bayesian Networks
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...
Bozhena Bidyuk, Rina Dechter
JMLR
2010
192views more  JMLR 2010»
14 years 9 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
ICML
2006
IEEE
16 years 3 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
SIGMOD
2008
ACM
123views Database» more  SIGMOD 2008»
16 years 2 months ago
SchemaScope: a system for inferring and cleaning XML schemas
We present SchemaScope, a system to derive Document Type Definitions and XML Schemas from corpora of sample XML documents. Tools are provided to visualize, clean, and refine exist...
Geert Jan Bex, Frank Neven, Stijn Vansummeren