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BMCBI
2004
108views more  BMCBI 2004»
13 years 7 months ago
Improving the scaling normalization for high-density oligonucleotide GeneChip expression microarrays
Background: Normalization is an important step for microarray data analysis to minimize biological and technical variations. Choosing a suitable approach can be critical. The defa...
Chao Lu
APIN
1998
139views more  APIN 1998»
13 years 7 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
APIN
1999
114views more  APIN 1999»
13 years 7 months ago
Evolutionary Approaches to Figure-Ground Separation
The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
Suchendra M. Bhandarkar, Xia Zeng
AUTOMATICA
1999
119views more  AUTOMATICA 1999»
13 years 7 months ago
Robust L2-gain control for nonlinear systems with projection dynamics and input constraints: an example from traffic control
We formulate the L2-gain control problem for a general nonlinear, state-space system with projection dynamics in the state evolution and hard constraints on the set of admissible ...
Joseph A. Ball, Martin V. Day, Tungsheng Yu, Pushk...
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
13 years 7 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari