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BMCBI
2005
87views more  BMCBI 2005»
13 years 9 months ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
JCB
2000
146views more  JCB 2000»
13 years 9 months ago
Bayesian Segmentation of Protein Secondary Structure
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
APCSAC
2007
IEEE
14 years 3 months ago
A Power-Aware Alternative for the Perceptron Branch Predictor
Abstract. The perceptron predictor is a highly accurate branch predictor. Unfortunately this high accuracy comes with high complexity. The high complexity is the result of the larg...
Kaveh Aasaraai, Amirali Baniasadi
HIPC
1999
Springer
14 years 1 months ago
Stochastic Modeling of TCP/IP over Random Loss Channels
An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented that is based on a semi-Markov model for the window ...
Alhussein A. Abouzeid, Murat Azizoglu, Sumit Roy
ICSE
2005
IEEE-ACM
14 years 9 months ago
Static analysis tools as early indicators of pre-release defect density
During software development it is helpful to obtain early estimates of the defect density of software components. Such estimates identify fault-prone areas of code requiring furth...
Nachiappan Nagappan, Thomas Ball