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» On learning with dissimilarity functions
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VTS
2008
IEEE
70views Hardware» more  VTS 2008»
15 years 4 months ago
A Statistical Approach to Characterizing and Testing Functionalized Nanowires
Unlike the top-down photolithographic CMOS VLSI process, cost-effective bulk fabrication of nanodevices calls for a bottom-up approach, generally called self-assembly. Selfassembl...
James Dardig, Haralampos-G. D. Stratigopoulos, Eri...
NIPS
2008
14 years 11 months ago
An Online Algorithm for Maximizing Submodular Functions
We present an algorithm for solving a broad class of online resource allocation . Our online algorithm can be applied in environments where abstract jobs arrive one at a time, and...
Matthew J. Streeter, Daniel Golovin
NIPS
2007
14 years 11 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
FLAIRS
2004
14 years 11 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
NC
1998
140views Neural Networks» more  NC 1998»
14 years 11 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner