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MICCAI
2004
Springer
14 years 8 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
14 years 18 days ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
VLSID
2008
IEEE
83views VLSI» more  VLSID 2008»
14 years 8 months ago
Efficient Linear Macromodeling via Discrete-Time Time-Domain Vector Fitting
We present a discrete-time time-domain vector fitting algorithm, called TD-VFz, for rational function macromodeling of port-to-port responses with discrete time-sampled data. The ...
Chi-Un Lei, Ngai Wong
ML
2008
ACM
13 years 7 months ago
A linear fit gets the correct monotonicity directions
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
Malik Magdon-Ismail, Joseph Sill
CEC
2008
IEEE
14 years 2 months ago
Differential evolution particle swarm optimization for digital filter design
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
Bipul Luitel, Ganesh K. Venayagamoorthy