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» The Probabilistic Method
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UAI
2008
15 years 4 months ago
The Computational Complexity of Sensitivity Analysis and Parameter Tuning
While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...
Johan Kwisthout, Linda C. van der Gaag
132
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IWPT
2001
15 years 4 months ago
Efficient Sentence Parsing with Language Specific Features: A case Study of Czech
This paper presents two optimalizations of standard parsing techniques applied to Czech as a representative of a free word order language with rich morphology. Our approach is bas...
Ales Horák, Pavel Smrz
AAAI
2000
15 years 4 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
133
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NIPS
1992
15 years 4 months ago
Network Structuring and Training Using Rule-Based Knowledge
We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
Volker Tresp, Jürgen Hollatz, Subutai Ahmad
141
Voted
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 3 months ago
Sharp Bounds on the Entropy of the Poisson Law and Related Quantities
One of the difficulties in calculating the capacity of certain Poisson channels is that H(), the entropy of the Poisson distribution with mean , is not available in a simple form. ...
José A. Adell, Alberto Lekuona, Yaming Yu