Yoram Baram

According to our database1, Yoram Baram authored at least 46 papers between 1977 and 2023.

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Bibliography

2023
Motion Control - Multi-Faceted Movement in Space, Time and Neurological Impairment
WorldScientific, ISBN: 9789811269592, 2023

2021
The Subcritical Brain - A Synergy of Segregated Neural Circuits in Memory, Cognition and Sensorimotor Control
WorldScientific, ISBN: 9789811233111, 2021

2018
Circuit Polarity Effect of Cortical Connectivity, Activity, and Memory.
Neural Comput., 2018

2017
Developmental metaplasticity in neural circuit codes of firing and structure.
Neural Networks, 2017

2012
Noninvertibility, Chaotic Coding, and Chaotic Multiplexity of Synaptically Modulated Neural Firing.
Neural Comput., 2012

Quantum set intersection and its application to associative memory.
J. Mach. Learn. Res., 2012

Sliding Global Attractors of Neural Learning and Memory.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

2006
Head motion anticipation for virtual-environment applications using kinematics and EMG energy.
IEEE Trans. Syst. Man Cybern. Part A, 2006

2005
Learning by Kernel Polarization.
Neural Comput., 2005

2004
Online Choice of Active Learning Algorithms.
J. Mach. Learn. Res., 2004

2002
Walking on Virtual Tiles.
Neural Process. Lett., 2002

2001
Manifold Stochastic Dynamics for Bayesian Learning.
Neural Comput., 2001

Random Embedding Machines for Pattern Recognition.
Neural Comput., 2001

Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

The Bias-Variance Dilemma of the Monte Carlo Method.
Proceedings of the Artificial Neural Networks, 2001

2000
A geometric approach to consistent classification.
Pattern Recognit., 2000

Random Embedding Machines for Low-Complexity Pattern Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Walking on Tiles.
Neural Process. Lett., 1999

Bayesian classification by iterated weighting.
Neurocomputing, 1999

1998
Convergence analysis of nonlinear dynamical systems by nested Lyapunov functions.
IEEE Trans. Autom. Control., 1998

Partial Classification Can Be Beneficial Even for Ideal Separation.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Partial Classification: The Benefit of Deferred Decision.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Trajectory Control of Convergent Networks.
Neural Process. Lett., 1998

Classification by Density Intersection.
Neural Process. Lett., 1998

1997
Detecting collision from gray-level expansion by a neural network.
Neurocomputing, 1997

Soft nearest neighbor classification.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Multidimensional density shaping by sigmoids.
IEEE Trans. Neural Networks, 1996

Classification by balanced binary representation.
Neurocomputing, 1996

Consistent Classification, Firm and Soft.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
High-capacity Hebbian storage by sparse sampling.
IEEE Trans. Neural Networks, 1995

Multi-Dimensional Density Shaping by Sigmoidal Networks.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Forecasting by density shaping using neural networks.
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering, 1995

1994
Second-order bounds on the domain of attraction and the rate of convergence of nonlinear dynamical systems and neural networks.
IEEE Trans. Neural Networks, 1994

Memorizing binary vector sequences by a sparsely encoded network.
IEEE Trans. Neural Networks, 1994

Corrective memory by a symmetric sparsely encoded network.
IEEE Trans. Inf. Theory, 1994

A Diffusion Mechanism for Obstacle Detection from Size-Change Information.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

1992
Lower bounds on the capacities of binary and ternary networks storing sparse random vectors.
IEEE Trans. Inf. Theory, 1992

1991
Encoding unique global minima in nested neural networks.
IEEE Trans. Inf. Theory, 1991

On the capacity of ternary Hebbian networks.
IEEE Trans. Inf. Theory, 1991

1990
Ground states of partially connected binary neural networks.
Proc. IEEE, 1990

1989
Associative memory in fractal neural networks.
IEEE Trans. Syst. Man Cybern., 1989

1988
On the internal structure of minimal stochastic realizations.
Autom., 1988

1987
A lower bound on the mean square error of reduced-order estimators for nonlinear processes.
IEEE Trans. Inf. Theory, 1987

1982
Identifying nonstationary measurement noise in linear systems.
IEEE Trans. Inf. Theory, 1982

1980
Decomposition and Convergence of Likelihood Ratios
Inf. Control., May, 1980

1977
Information, consistent estimation and dynamic system identification.
PhD thesis, 1977


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