Peter Tino
Peter Tino
Professor of Complex and Adaptive Systems, University of Birmingham, UK
Verified email at - Homepage
Cited by
Cited by
Learning long-term dependencies in NARX recurrent neural networks
T Lin, BG Horne, P Tino, CL Giles
IEEE Transactions on Neural Networks 7 (6), 1329-1338, 1996
Minimum complexity echo state network
A Rodan, P Tiňo
Neural Networks, IEEE Transactions on, 1-14, 2011
Recurrent neural networks: design and applications
L Medsker, LC Jain
CRC press, 1999
Managing diversity in regression ensembles
G Brown, JL Wyatt, P Tiňo
Journal of machine learning research 6 (Sep), 1621-1650, 2005
Markovian architectural bias of recurrent neural networks
P Tino, M Cernansky, L Benuskova
IEEE Transactions on Neural Networks 15 (1), 6-15, 2004
Evolutionary Algorithms (Evolučné algoritmy, in Slovak)
V Kvasnička, J Pospíchal, P Tiňo
STU, 2000
Financial volatility trading using recurrent neural networks
P Tino, C Schittenkopf, G Dorffner
IEEE Transactions on Neural Networks 12 (4), 865-874, 2001
Introduction to the theory of neural networks (Úvod do teórie neurónových sietí, in Slovak)
V Kvasnička, Ľ Beňušková, J Pospíchal, I Farkaš, P Tiňo, V Kráľ
Iris, Bratislava, 1997
Probabilistic classification vector machines
H Chen, P Tino, X Yao
IEEE Transactions on Neural Networks 20 (6), 901-914, 2009
Learning in the model space for cognitive fault diagnosis
H Chen, P Tiňo, A Rodan, X Yao
IEEE transactions on neural networks and learning systems 25 (1), 124-136, 2013
Hierarchical GTM: Constructing localized nonlinear projection manifolds in a principled way
P Tino, I Nabney
Pattern Analysis and Machine Intelligence, IEEE Transactions on 24 (5), 639-656, 2002
Finite state machines and recurrent neural networks—automata and dynamical systems approaches
P Tiňo, BG Horne, CL Giles, PC Collingwood
Neural networks and pattern recognition, 171-219, 1998
Scaling up estimation of distribution algorithms for continuous optimization
W Dong, T Chen, P Tiňo, X Yao
IEEE Transactions on Evolutionary Computation 17 (6), 797-822, 2013
Model-based kernel for efficient time series analysis
H Chen, F Tang, P Tino, X Yao
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps
A Rodan, P Tiˇno
Neural computation 24 (7), 2012
Predictive ensemble pruning by expectation propagation
H Chen, P Tiňo, X Yao
IEEE Transactions on Knowledge and Data Engineering 21 (7), 999-1013, 2009
Predicting the future of discrete sequences from fractal representations of the past
P Tino, G Dorffner
Machine Learning 45 (2), 187-217, 2001
Spatial representation of symbolic sequences through iterative function systems
P Tino
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 1999
Learning and extracting initial mealy automata with a modular neural network model
P Tiňo, J Šajda
Neural Computation 7 (4), 822-844, 1995
Recurrent neural networks with small weights implement definite memory machines
B Hammer, P Tiňo
Neural Computation 15 (8), 1897-1929, 2003
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