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QEST
2006
IEEE
16 years 27 days ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
NIPS
2000
15 years 8 months ago
Mixtures of Gaussian Processes
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the...
Volker Tresp
INLG
2010
Springer
15 years 4 months ago
Named Entity Generation Using Sampling-based Structured Prediction
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
Guillaume Bouchard
DATE
2008
IEEE
109views Hardware» more  DATE 2008»
16 years 1 months ago
Layout-Aware, IR-Drop Tolerant Transition Fault Pattern Generation
— Market and customer demands have continued to push the limits of CMOS performance. At-speed test has become a common method to ensure these high performance chips are being shi...
Jeremy Lee, Sumit Narayan, Mike Kapralos, Mohammad...
VLDB
1994
ACM
128views Database» more  VLDB 1994»
15 years 11 months ago
An Algebraic Approach to Rule Analysis in Expert Database Systems
Expert database systems extend the functionality of conventional database systems by providing a facility for creating and automatically executing Condition-Action rules. While Con...
Elena Baralis, Jennifer Widom