Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
2000.
10.1162/jmlr.2003.4.7-8.1393.
CrossRef Listing of Deleted DOIs,
Vol. 1,
Issue. ,
Diambra, L.
and
Fernández, J.
2001.
Information theory approach to learning of the perceptron rule.
Physical Review E,
Vol. 64,
Issue. 4,
Rosen-Zvi, Michal
Engel, Andreas
and
Kanter, Ido
2001.
Multilayer Neural Networks with Extensively Many Hidden Units.
Physical Review Letters,
Vol. 87,
Issue. 7,
Kinzel, Wolfgang
and
Kanter, Ido
2002.
Advances in Solid State Physics.
Vol. 42,
Issue. ,
p.
383.
Malzahn, Dörthe
and
Opper, Manfred
2002.
Statistical Mechanics of Learning: A Variational Approach for Real Data.
Physical Review Letters,
Vol. 89,
Issue. 10,
Kanter, I
Kinzel, W
and
Kanter, E
2002.
Secure exchange of information by synchronization of neural networks.
Europhysics Letters (EPL),
Vol. 57,
Issue. 1,
p.
141.
Kinzel, W.
and
Kanter, I.
2002.
Neural cryptography.
p.
1351.
Kinzel, Wolfgang
and
Kanter, Ido
2003.
Disorder generated by interacting neural networks: application to econophysics and cryptography.
Journal of Physics A: Mathematical and General,
Vol. 36,
Issue. 43,
p.
11173.
Tooriyama, Kanako
and
Uezu, Tatsuya
2003.
Learning of Non-Monotonic Target Functions by Ising Perceptrons –Learning Curve, Perfect Learning and Perfect Anti-Learning–.
Journal of the Physical Society of Japan,
Vol. 72,
Issue. 7,
p.
1635.
Hoyle, D. C
and
Rattray, M
2003.
PCA learning for sparse high-dimensional data.
Europhysics Letters (EPL),
Vol. 62,
Issue. 1,
p.
117.
Malzahn, Dörthe
and
Opper, Manfred
2003.
Learning curves and bootstrap estimates for inference with Gaussian processes: A statistical mechanics study.
Complexity,
Vol. 8,
Issue. 4,
p.
57.
Miyoshi, S.
Hara, K.
and
Okada, M.
2004.
Analysis of ensemble learning using simple perceptrons based on online learning theory.
Vol. 2,
Issue. ,
p.
1151.
Stramaglia, Sebastiano
Angelini, Leonardo
Marangi, Carmela
Nitti, Luigi
and
Pellicoro, Mario
2004.
New Directions in Statistical Physics.
p.
253.
Petersson, Karl Magnus
Forkstam, Christian
and
Ingvar, Martin
2004.
Artificial syntactic violations activate Broca's region.
Cognitive Science,
Vol. 28,
Issue. 3,
p.
383.
Ruttor, Andreas
Kinzel, Wolfgang
Shacham, Lanir
and
Kanter, Ido
2004.
Neural cryptography with feedback.
Physical Review E,
Vol. 69,
Issue. 4,
Hoyle, David C.
and
Rattray, Magnus
2004.
Learning Theory.
Vol. 3120,
Issue. ,
p.
579.
Shacham, Lanir N.
Klein, Einat
Mislovaty, Rachel
Kanter, Ido
and
Kinzel, Wolfgang
2004.
Cooperating attackers in neural cryptography.
Physical Review E,
Vol. 69,
Issue. 6,
Mislovaty, R.
Klein, E.
Kanter, I.
and
Kinzel, W.
2004.
Security of neural cryptography.
p.
219.
Cleuren, B.
and
Van den Broeck, C.
2004.
Optimizing strategies in the primary Parrondo paradox.
Physical Review E,
Vol. 70,
Issue. 6,
Malzahn, Dörthe
and
Opper, Manfred
2005.
A statistical physics approach for the analysis of machine learning algorithms on real data.
Journal of Statistical Mechanics: Theory and Experiment,
Vol. 2005,
Issue. 11,
p.
P11001.