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Mahesan Niranjan
Mahesan Niranjan
University of Southampton
Zweryfikowany adres z ecs.soton.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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On-line Q-learning using connectionist systems
GA Rummery, M Niranjan
University of Cambridge, Department of Engineering 37, 14, 1994
22881994
A function estimation approach to sequential learning with neural networks
V Kadirkamanathan, M Niranjan
Neural computation 5 (6), 954-975, 1993
6151993
A theoretical investigation into the performance of the Hopfield model
SVB Aiyer, M Niranjan, F Fallside
IEEE transactions on neural networks 1 (2), 204-215, 1990
5791990
Sequential Monte Carlo methods to train neural network models
JFG de Freitas, M Niranjan, AH Gee, A Doucet
Neural computation 12 (4), 955-993, 2000
2802000
Neural networks and radial basis functions in classifying static speech patterns
M Niranjan, F Fallside
Computer Speech & Language 4 (3), 275-289, 1990
1611990
Financial news predicts stock market volatility better than close price
A Atkins, M Niranjan, E Gerding
The Journal of Finance and Data Science 4 (2), 120-137, 2018
1402018
On acoustic emotion recognition: compensating for covariate shift
A Hassan, R Damper, M Niranjan
IEEE Transactions on Audio, Speech, and Language Processing 21 (7), 1458-1468, 2013
1182013
Hierarchical Bayesian models for regularization in sequential learning
JFG Freitas, M Niranjan, AH Gee
Neural computation 12 (4), 933-953, 2000
1112000
Data-dependent kernels in SVM classification of speech patterns
N Smith, MJF Gales, M Niranjan
University of Cambridge, Department of Engineering, 2001
1092001
Trendminer: An architecture for real time analysis of social media text
D Preotiuc-Pietro, S Samangooei, T Cohn, N Gibbins, M Niranjan
Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012
1052012
Deep cascade learning
ES Marquez, JS Hare, M Niranjan
IEEE transactions on neural networks and learning systems 29 (11), 5475-5485, 2018
972018
Realisable Classifiers: Improving Operating Performance on Variable Cost Problems.
MJJ Scott, M Niranjan, RW Prager
BMVC, 1-10, 1998
841998
Fmix: Enhancing mixed sample data augmentation
E Harris, A Marcu, M Painter, M Niranjan, A Prügel-Bennett, J Hare
arXiv preprint arXiv:2002.12047, 2020
712020
Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios
A Takeda, M Niranjan, J Gotoh, Y Kawahara
Computational Management Science 10, 21-49, 2013
682013
Sequential adaptation of radial basis function neural networks and its application to time-series prediction
V Kadirkamanathan, M Niranjan, F Fallside
Advances in Neural Information Processing Systems 3, 1990
631990
A probabilistic model for the extraction of expression levels from oligonucleotide arrays
M Milo, A Fazeli, M Niranjan, ND Lawrence
Biochemical Society Transactions 31 (6), 1510-1512, 2003
572003
Sequential Monte Carlo methods for neural networks
N De Freitas, C Andrieu, P Højen-Sørensen, M Niranjan, A Gee
Sequential Monte Carlo methods in practice, 359-379, 2001
552001
Sequential tracking in pricing financial options using model based and neural network approaches
M Niranjan
Advances in neural information processing systems 9, 1996
521996
Fully vector-quantized neural network-based code-excited nonlinear predictive speech coding
L Wu, M Niranjan, F Fallside
IEEE transactions on speech and audio processing 2 (4), 482-489, 1994
521994
Parametric subspace modeling of speech transitions
K Reinhard, M Niranjan
Speech Communication 27 (1), 19-42, 1999
511999
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