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...
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 ...
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...
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
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...