Suchergebnisse - probabilisit autoencoder framework*

Cost functions for pairwise data clustering

Autoren: ANGELINI, Leonardo STRAMAGLIA, Sebastiano NITTI L et al.

Weitere Verfasser: ANGELINI, Leonardo STRAMAGLIA, Sebastiano NITTI L et al.

Quelle: Physics Letters A. 285:279-285

Schlagwörter: Data structures, probabilisit autoencoder framework, 0103 physical sciences, Computational problems in statistics, maximal average similarity, FOS: Physical sciences, Potts spin Hamiltonian ground state, Quantum equilibrium statistical mechanics (general), Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics, 01 natural sciences

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/pdf/cond-mat/0103414
http://arxiv.org/abs/cond-mat/0103414
https://arxiv.org/abs/cond-mat/0103414
https://arxiv.org/pdf/cond-mat/0103414v1
http://www.ba.infn.it/~angelini/414.pdf
http://ui.adsabs.harvard.edu/abs/2001PhLA..285..279A/abstract
https://www.sciencedirect.com/science/article/pii/S0375960101003735
https://ricerca.uniba.it/handle/11586/116064
https://www.arxiv-vanity.com/papers/cond-mat/0103414/