N. Hazarika

Prediction Using Decomposition onto a System of Random Sequence Basis Functions and a Temperature-Dependent SOFTMAX Combiner

N. Hazarika, 2022 .

Combining Models

Neep Hazarika, John G. Taylor, John G. Taylor, 2002, Neural Networks and the Financial Markets.

Classification of EEG signals using the wavelet transform

A. Tsoi, A. Sergejew, N. Hazarika, 1997 .

Classification of EEG signals using the wavelet transform

Ah Chung Tsoi, Neep Hazarika, Alex A. Sergejew, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

A temperature-dependent SOFTMAX combiner

N. Hazarika, J. G. Taylor, J.G. Taylor, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Nonlinear considerations in EEG signal classification

Ah Chung Tsoi, Neep Hazarika, Alex A. Sergejew, 1997, IEEE Trans. Signal Process..

A neural-network extension of the method of analogues for iterated time series prediction

D. Lowe, N. Hazarika, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Iterative time series prediction and analysis by embedding and multiple time-scale decomposition networks

Neep Hazarika, David Lowe, D. Lowe, 1997, Defense, Security, and Sensing.

Vector Machines

John G. Taylor, Neep Hazarika, N. Hazarika, 2002, Neural Networks and the Financial Markets.