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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 11 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
KDD
1998
ACM
102views Data Mining» more  KDD 1998»
15 years 11 months ago
Defining the Goals to Optimise Data Mining Performance
In many data mining problems the definition of what structures in the database are to be regarded as interesting or valuable is given only loosely. Typically this is regarded as a...
Mark G. Kelly, David J. Hand, Niall M. Adams
DCC
2010
IEEE
15 years 11 months ago
Causal Transmission of Colored Source Frames over a Packet Erasure Channel
We propose a linear predictive quantization system for causally transmitting parallel sources with temporal memory (colored frames) over an erasure channel. By optimizing within t...
Ying-zong Huang, Yuval Kochman, Gregory W. Wornell
KDD
2010
ACM
263views Data Mining» more  KDD 2010»
15 years 11 months ago
Social action tracking via noise tolerant time-varying factor graphs
Users’ behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, and global trends. However, few publications sys...
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengj...
EPS
1995
Springer
15 years 10 months ago
An Evolutionary Programming Approach to Self-Adaptation on Finite State Machines
Evolutionary programming was first offered as an alternative method for generating artificial intelligence. Experiments were offered in which finite state machines were used to...
Lawrence J. Fogel, Peter J. Angeline, David B. Fog...