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519views
15 years 6 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem
Background: The protein folding problem is a fundamental problems in computational molecular biology and biochemical physics. Various optimisation methods have been applied to for...
Alena Shmygelska, Holger H. Hoos
ACRI
2006
Springer
14 years 1 months ago
Parallel Simulation of Asynchronous Cellular Automata Evolution
For simulating physical and chemical processes on molecular level asynchronous cellular automata with probabilistic transition rules are widely used being sometimes referred to as ...
Olga L. Bandman
HICSS
1997
IEEE
131views Biometrics» more  HICSS 1997»
13 years 11 months ago
Conditional Market Segmentation by Neural Networks
An arti"cial neural network (ANN) algorithm is proposed that incorporates both market segmentation and discriminant (regression) analysis of the segments. The method simultan...
Martin Natter
TCAD
2008
136views more  TCAD 2008»
13 years 7 months ago
A Geometric Programming-Based Worst Case Gate Sizing Method Incorporating Spatial Correlation
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...
Jaskirat Singh, Zhi-Quan Luo, Sachin S. Sapatnekar