This is code for learning with a diluted perceptron
# prints usage.
./dilperc -hCheck out the README text file inside the .tgz archive.
More info: [1; 2; 3; 4]
- Braunstein, A and Zecchina, R, 2006, “Learning by Message Passing in Networks of Discrete Synapses” Phys. Rev. Lett. 96(3) 030201, http://link.aps.org/doi/10.1103/PhysRevLett.96.030201.
- Baldassi, C, Braunstein, A, Brunel, N, and Zecchina, R, 2007, “Efficient supervised learning in networks with binary synapses” BMC Neuroscience 8(Suppl 2) S13.
- Bailly-Bechet, M, Braunstein, A, Pagnani, A, Weigt, M, and Zecchina, R, 2010, “Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach” BMC Bioinformatics 11(1) 355, http://www.biomedcentral.com/1471-2105/11/355/abstract.
- Braunstein, A, Pagnani, A, Weigt, M, and Zecchina, R, 2008, “Inference algorithms for gene networks: a statistical mechanics analysis” J. Stat. Mech. 2008(12) P12001, http://iopscience.iop.org/1742-5468/2008/12/P12001.
