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» Cosparse analysis modeling - uniqueness and algorithms
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JCB
2002
93views more  JCB 2002»
15 years 4 months ago
Unfolding of Microarray Data
The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the ...
Andrew B. Goryachev, Pascale F. Macgregor, Aled M....
PE
2006
Springer
107views Optimization» more  PE 2006»
15 years 4 months ago
Efficient steady-state analysis of second-order fluid stochastic Petri nets
This paper presents an efficient solution technique for the steady-state analysis of the second-order Stochastic Fluid Model underlying a second-order Fluid Stochastic Petri Net (...
Marco Gribaudo, Rossano Gaeta
JCSS
2007
63views more  JCSS 2007»
15 years 4 months ago
Holistic analysis of asynchronous real-time transactions with earliest deadline scheduling
In distributed real-time systems, an application is often modeled as a set of real-time transactions, where each transaction is a chain of precedence-constrained tasks. Each task ...
Rodolfo Pellizzoni, Giuseppe Lipari
ACL
1994
15 years 5 months ago
A Stochastic Finite-State Word-Segmentation Algorithm for Chinese
We present a stochastic finite-state model for segmenting Chinese text into dictionary entries and productively derived words, and providing pronunciations for these words; the me...
Richard Sproat, Chilin Shih, William Gale, Nancy C...
NECO
1998
116views more  NECO 1998»
15 years 4 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...