Mahesan Niranjan
Mahesan Niranjan
Verified email at - Homepage
Cited by
Cited by
On-line Q-learning using connectionist systems
GA Rummery, M Niranjan
University of Cambridge, Department of Engineering 37, 20, 1994
A function estimation approach to sequential learning with neural networks
V Kadirkamanathan, M Niranjan
Neural computation 5 (6), 954-975, 1993
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
Sequential Monte Carlo methods to train neural network models
JFG Freitas, M Niranjan, AH Gee, A Doucet
Neural computation 12 (4), 955-993, 2000
Neural networks and radial basis functions in classifying static speech patterns
M Niranjan, F Fallside
Computer Speech & Language 4 (3), 275-289, 1990
Data-dependent kernels in SVM classification of speech patterns
N Smith, M Niranjan
Sixth International Conference on Spoken Language Processing, 2000
Hierarchical Bayesian models for regularization in sequential learning
JFG de Freitas, M Niranjan, AH Gee
Neural computation 12 (4), 933-953, 2000
Trendminer: An architecture for real time analysis of social media text
D Preotiuc-Pietro, S Samangooei, T Cohn, N Gibbins, M Niranjan
Sixth International AAAI Conference on Weblogs and Social Media, 38-42, 2012
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
Realisable Classifiers: Improving Operating Performance on Variable Cost Problems.
MJJ Scott, M Niranjan, RW Prager
BMVC, 1-10, 1998
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
M Jeusfeld, L Delcambre, TW Ling
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, 721-727, 1991
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 (1), 21-49, 2013
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
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
Parametric subspace modeling of speech transitions
K Reinhard, M Niranjan
Speech Communication 27 (1), 19-42, 1999
Sequential Monte Carlo methods for optimisation of neural network models
JFG De Freitas, M Niranjan, AH Gee, A Doucet
Cambridge University Engineering Department, Cambridge, England, Technical …, 1998
Sequential tracking in pricing financial options using model based and neural network approaches
M Niranjan
Advances in neural information processing systems, 960-966, 1997
Reducing the variability in cDNA microarray image processing by Bayesian inference
ND Lawrence, M Milo, M Niranjan, P Rashbass, S Soullier
Bioinformatics 20 (4), 518-526, 2004
Sequential support vector machines
N de Freitas, M Milo, P Clarkson, M Niranjan, A Gee
Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE …, 1999
The system can't perform the operation now. Try again later.
Articles 1–20