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105
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ICMLA
2007
15 years 4 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
106
Voted
BC
2007
79views more  BC 2007»
15 years 2 months ago
Spike-timing-dependent plasticity for neurons with recurrent connections
The dynamics of the learning equation, which describes the evolution of the synaptic weights, is derived in the situation where the network contains recurrent connections. The deri...
Anthony N. Burkitt, Matthieu Gilson, J. Leo van He...
123
Voted
TSMC
1998
132views more  TSMC 1998»
15 years 2 months ago
Decision support for vehicle dispatching using genetic programming
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
Ilham Benyahia, Jean-Yves Potvin
127
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
ICALP
1999
Springer
15 years 6 months ago
Wide Area Computation
Abstract. The last decades have seen the emergence of the sea of objects paradigm for structuring complex distributed systems on workstations and local area networks. In this appro...
Luca Cardelli