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» A Family of Data-Parallel Derivations
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CORR
2006
Springer
122views Education» more  CORR 2006»
13 years 5 months ago
Derivatives of Entropy Rate in Special Families of Hidden Markov Chains
Consider a hidden Markov chain obtained as the observation process of an ordinary Markov chain corrupted by noise. Zuk, et. al. [13, 14] showed how, in principle, one can explicit...
Guangyue Han, Brian Marcus
ISMB
1993
13 years 7 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
SPAA
1993
ACM
13 years 9 months ago
Scan Grammars: Parallel Attribute Evaluation via Data-Parallelism
This paper concerns the problem of how to exploit parallelism during the phases of compilation involving syntaxdirected analysis and translation. In particular, we address the pro...
Thomas W. Reps
EUROPAR
1998
Springer
13 years 10 months ago
A Lower Bound for Dynamic Scheduling of Data Parallel Programs
Instruction Balanced Time Slicing IBTS allows multiple parallel jobs to be scheduled in a manner akin to the well-known gang scheduling scheme in parallel computers. IBTS however a...
Fabrício Alves Barbosa da Silva, Luis Migue...
CICLING
2001
Springer
13 years 10 months ago
Applying Productive Derivational Morphology to Term Indexing of Spanish Texts
This paper deals with the application of natural language processing techniques to the field of information retrieval. To be precise, we propose the application of morphological f...
Jesús Vilares, David Cabrero, Miguel A. Alo...