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GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
16 years 1 days ago
The application of antigenic search techniques to time series forecasting
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
Ian Nunn, Tony White
EVOW
2003
Springer
15 years 11 months ago
Search Space Analysis of the Linear Ordering Problem
Abstract. The Linear Ordering Problem (LOP) is an NP-hard combinatorial optimization problem that arises in a variety of applications and several algorithmic approaches to its solu...
Tommaso Schiavinotto, Thomas Stützle
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
15 years 11 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
FPGA
2001
ACM
123views FPGA» more  FPGA 2001»
15 years 11 months ago
Matching and searching analysis for parallel hardware implementation on FPGAs
Matching and searching computations play an important role in the indexing of data. These computations are typically encoded in very tight loops with a single index variable and a...
Pablo Moisset, Pedro C. Diniz, Joonseok Park
PODS
1997
ACM
182views Database» more  PODS 1997»
15 years 10 months ago
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Stefan Berchtold, Christian Böhm, Daniel A. K...