עקוב אחר
Mahesan Niranjan
Mahesan Niranjan
University of Southampton
כתובת אימייל מאומתת בדומיין ecs.soton.ac.uk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
On-line Q-learning using connectionist systems‏
GA Rummery, M Niranjan‏
University of Cambridge, Department of Engineering 37, 14, 1994‏
27651994
A function estimation approach to sequential learning with neural networks‏
V Kadirkamanathan, M Niranjan‏
Neural computation 5 (6), 954-975, 1993‏
6431993
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
6081990
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
3012000
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
2132018
Neural networks and radial basis functions in classifying static speech patterns‏
M Niranjan, F Fallside‏
Computer Speech & Language 4 (3), 275-289, 1990‏
1621990
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
1522020
Deep cascade learning‏
ES Marquez, JS Hare, M Niranjan‏
IEEE transactions on neural networks and learning systems 29 (11), 5475-5485, 2018‏
1462018
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
1402013
Hierarchical Bayesian models for regularization in sequential learning‏
JFG Freitas, M Niranjan, AH Gee‏
Neural computation 12 (4), 933-953, 2000‏
1212000
Data-dependent kernels in SVM classification of speech patterns‏
S Nathan‏
ICSLP-2000 1, 297-300, 2000‏
1102000
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
1082012
Realisable Classifiers: Improving Operating Performance on Variable Cost Problems.‏
MJJ Scott, M Niranjan, RW Prager‏
BMVC, 1-10, 1998‏
881998
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
872013
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
651990
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
612001
A comparison of multitask and single task learning with artificial neural networks for yield curve forecasting‏
M Nunes, E Gerding, F McGroarty, M Niranjan‏
Expert Systems with Applications 119, 362-375, 2019‏
592019
Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics‏
K Kuru, M Niranjan, Y Tunca, E Osvank, T Azim‏
Artificial intelligence in medicine 62 (2), 105-118, 2014‏
572014
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
562003
Enhancing the biological relevance of machine learning classifiers for reverse vaccinology‏
AI Heinson, Y Gunawardana, B Moesker, CC Denman Hume, E Vataga, ...‏
International journal of molecular sciences 18 (2), 312, 2017‏
552017
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מאמרים 1–20