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BMCBI
2011
14 years 8 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
WABI
2009
Springer
155views Bioinformatics» more  WABI 2009»
15 years 11 months ago
A Markov Classification Model for Metabolic Pathways
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
Timothy Hancock, Hiroshi Mamitsuka
IJIT
2004
15 years 5 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
MOBIHOC
2009
ACM
16 years 5 months ago
Delay and effective throughput of wireless scheduling in heavy traffic regimes: vacation model for complexity
Distributed scheduling algorithms for wireless ad hoc networks have received substantial attention over the last decade. The complexity levels of these algorithms span a wide spec...
Yung Yi, Junshan Zhang, Mung Chiang
GLOBECOM
2006
IEEE
15 years 10 months ago
Modelling the Impact of User Mobility on the Throughput in Networks of Wireless 802.11 LANs
— The wireless LAN technology 802.11, also called Wi-Fi, offers high speed wireless Internet access for local area environments. WLANs provide much higher data rates than the mob...
Sandjai Bhulai, Robert D. van der Mei, Taoying Yua...