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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CSL
2004
Springer
15 years 11 months ago
Game-Based Notions of Locality Over Finite Models
Locality notions in logic say that the truth value of a formula can be determined locally, by looking at the isomorphism type of a small neighborhood of its free variables. Such n...
Marcelo Arenas, Pablo Barceló, Leonid Libki...
ESANN
2006
15 years 7 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
VTS
2007
IEEE
114views Hardware» more  VTS 2007»
16 years 19 days ago
Parameter Estimation for a Model with Both Imperfect Test and Repair
We describe estimation of the parameters of a manufacturing test and repair model using data available from that test. The model allows imperfect testing and imperfect repair. The...
Simon P. Wilson, Ben Flood, Suresh Goyal, Jim Mosh...
ASP
2005
Springer
15 years 12 months ago
Modeling Hybrid Domains Using Process Description Language
In previous work, action languages have predominantly been concerned with domains in which values are static unless changed by an action. Real domains, however, often contain value...
Sandeep Chintabathina, Michael Gelfond, Richard Wa...