A. Back

发表

Function Approximation with Neural Networks and Local Methods: Bias, Variance and Smoothness

S. Lawrence, A. Tsoi, A. Back, 1996 .

Face recognition: a convolutional neural-network approach

Ah Chung Tsoi, Andrew D. Back, C. Lee Giles, 1997, IEEE Trans. Neural Networks.

A First Application of Independent Component Analysis to Extracting Structure from Stock Returns

Andrew D. Back, Andreas S. Weigend, A. Back, 1997, Int. J. Neural Syst..

Locally recurrent globally feedforward networks: a critical review of architectures

Ah Chung Tsoi, Andrew D. Back, A. Tsoi, 1994, IEEE Trans. Neural Networks.

Blind Source Separation and Deconvolution of Fast Sampled Signals

Andrzej Cichocki, A. D. Back, A. Cichocki, 1997, ICONIP.

On-line adaptive algorithms in non-stationary environments using a modified conjugate gradient approach

Shun-ichi Amari, Andrzej Cichocki, B. Orsier, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Radial Basis Functions

Andrew D. Back, A. Back, 2001 .

Input variable selection: mutual information and linear mixing measures

Thomas P. Trappenberg, Jie Ouyang, Andrew D. Back, 2006, IEEE Transactions on Knowledge and Data Engineering.

USING INDEPENDENT COMPONENT ANALYSIS AND HIGHER ORDER STATISTICS

Andrzej Cichocki, Andrew D. Back, A. Cichocki, 1998 .

An Automated Approach to Examining Pausing in the Speech of People With Dementia

A. Back, Janet Wiles, A. Angwin, 2020, American journal of Alzheimer's disease and other dementias.

Alternative discrete-time operators and their application to nonlinear models

C. Lee Giles, A. Tsoi, A. Back, 1997 .

Constrained pole-zero filters as discrete-time operators for system approximation

A. Tsoi, A. Back, 1995, Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.

STATIC AND DYNAMIC PREPROCESSING METHODS IN NEURAL NETWORKS

A. Tsoi, A. Back, 1994 .

Discovering Structure in Finance Using Independent Component Analysis

Andrew D. Back, Andreas S. Weigend, A. Back, 1998 .

INPUT VARIABLE SELECTION USING INDEPENDENT COMPONENT ANAL YSIS AND HIGHER ORDER STATISTICS

A. Cichocki, A. Back, 2007 .

Estimating Sentence-like Structure in Synthetic Languages Using Information Topology

A. Back, Janet Wiles, 2022, Entropy.

Approximation of Hybrid Systems by Neural Networks

Tianping Chen, Andrew D. Back, A. Back, 1997, ICONIP.

What drives stock returns?-an independent component analysis

A. S. Weigend, A. D. Back, A. Back, 1998, Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.98TH8367).

Input variable selection using independent component analysis

Thomas P. Trappenberg, Andrew D. Back, A. Back, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Independent Component Analysis

A. Back, 2004 .

On the distribution of performance from multiple neural-network trials

Ah Chung Tsoi, Andrew D. Back, C. Lee Giles, 1997, IEEE Trans. Neural Networks.

Discrete time recurrent neural network architectures: A unifying review

Ah Chung Tsoi, Andrew D. Back, A. Tsoi, 1997, Neurocomputing.

A classification scheme for applications with ambiguous data

Thomas P. Trappenberg, Andrew D. Back, A. Back, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A Performance Measure for Classification with Ambiguous Data

Thomas P. Trappenberg, Andrew D. Back, Shun-Ichi Amari, 1999 .

Entropy Estimation Using a Linguistic Zipf–Mandelbrot–Li Model for Natural Sequences

A. Back, Janet Wiles, 2021, Entropy.

Face Recognition: A Hybrid Neural Network Approach

Ah Chung Tsoi, Andrew D. Back, C. Lee Giles, 1998 .

A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification

Ah Chung Tsoi, Andrew D. Back, A. Tsoi, 1994, NIPS.

A unifying view of some training algorithms for multilayer perceptrons with FIR filter synapses

Ah Chung Tsoi, Andrew D. Back, Eric A. Wan, 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling

Ah Chung Tsoi, Andrew D. Back, A. Tsoi, 1991, Neural Computation.