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» Separating Complexity Classes Using Structural Properties
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BMCBI
2007
119views more  BMCBI 2007»
13 years 10 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
QEST
2006
IEEE
14 years 4 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
ICPR
2000
IEEE
14 years 11 months ago
A Model of Stroke Extraction from Chinese Character Images
Given the large number and complexity of Chinese characters, pattern matching based on structural decomposition and analysis is believed to be necessary and essential to off-line ...
Ruini Cao, Chew Lim Tan
ETRICS
2006
14 years 1 months ago
Possibilistic Information Flow Control in MAKS and Action Refinement
Abstract. Formal methods emphasizes the need for a top-down approach when developing large reliable software systems. Refinements are map step by step abstract algebraic specificat...
Dieter Hutter
ICALP
2011
Springer
13 years 1 months ago
Liveness-Preserving Atomicity Abstraction
-Preserving Atomicity Abstraction Alexey Gotsman1 and Hongseok Yang2 1 IMDEA Software Institute 2 University of Oxford Modern concurrent algorithms are usually encapsulated in libr...
Alexey Gotsman, Hongseok Yang