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UAI
1996
13 years 9 months ago
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
SRDS
2010
IEEE
13 years 6 months ago
Shedding Light on Enterprise Network Failures Using Spotlight
Abstract--Fault localization in enterprise networks is extremely challenging. A recent approach called Sherlock makes some headway into this problem by using an inference algorithm...
Dipu John, Pawan Prakash, Ramana Rao Kompella, Ran...
ICRA
2005
IEEE
173views Robotics» more  ICRA 2005»
14 years 1 months ago
Decision Networks for Repair Strategies in Speech-Based Interaction with Mobile Tour-Guide Robots
– The main task of a voice-enabled tour-guide robot in mass exhibition setting is to engage visitors in dialogue and provide as much exhibit information as possible in a limited ...
Plamen J. Prodanov, Andrzej Drygajlo
AI
1998
Springer
14 years 12 days ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
NIPS
2008
13 years 9 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang