Bill G. Horne

Publication Activity (10 Years)

Years Active: 1990-2016
Publications (10 Years): 1

Top Topics

Trust Management

Subjective Logic

Human Behaviour

Top Venues

IEEE Secur. Priv.

IEEE Trans. Inf. Forensics Secur.

Publications

Bill G. Horne
Trust Me. Trust Me Not. IEEE Secur. Priv. 14 (3) (2016)
Bill G. Horne
Umbrellas and Octopuses. IEEE Secur. Priv. 13 (1) (2015)
Bill G. Horne
Humans in the Loop. IEEE Secur. Priv. 12 (1) (2014)
Bill G. Horne
On Computer Security Incident Response Teams. IEEE Secur. Priv. 12 (5) (2014)
Sen-ching Samson Cheung, Yan Sun, Karl Aberer, Jayant R. Haritsa, Bill G. Horne, Kai Hwang
Guest Editorial: Special issue on privacy and trust management in cloud and distributed systems. IEEE Trans. Inf. Forensics Secur. 8 (6) (2013)
Bill G. Horne, Benny Pinkas, Tomas Sander
Escrow services and incentives in peer-to-peer networks. EC (2001)
Bill G. Horne, Lesley R. Matheson, Casey Sheehan, Robert Endre Tarjan
Dynamic Self-Checking Techniques for Improved Tamper Resistance. Digital Rights Management Workshop (2001)
Peter Tiño, Bill G. Horne, C. Lee Giles
Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks). Neural Comput. 13 (6) (2001)
Frank L. Lewis, Bill G. Horne, Chaouki T. Abdallah
Computational complexity of determining resource loops in re-entrant flow lines. IEEE Trans. Syst. Man Cybern. Part A 30 (2) (2000)
Andrew D. Back, Bill G. Horne, Ah Chung Tsoi, C. Lee Giles
Alternative discrete-time operators: an algorithm for optimal selection of parameters. IEEE Trans. Signal Process. 47 (9) (1999)
Don R. Hush, Bill G. Horne
Efficient algorithms for function approximation with piecewise linear sigmoidal networks. IEEE Trans. Neural Networks 9 (6) (1998)
Tsungnan Lin, Bill G. Horne, C. Lee Giles
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies. Neural Networks 11 (5) (1998)
Don R. Hush, Fernando Lozano, Bill G. Horne
Function Approximation with the Sweeping Hinge Algorithm. NIPS (1997)
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli, Bill G. Horne, C. Lee Giles
Predicting Multiprocessor Memory Access Patterns with Learning Models. ICML (1997)
Hava T. Siegelmann, Bill G. Horne, C. Lee Giles
Computational capabilities of recurrent NARX neural networks. IEEE Trans. Syst. Man Cybern. Part B 27 (2) (1997)
Tsung-Nan Lin, C. Lee Giles, Bill G. Horne, Sun-Yuan Kung
A delay damage model selection algorithm for NARX neural networks. IEEE Trans. Signal Process. 45 (11) (1997)
Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell
Time-delay neural networks: representation and induction of finite-state machines. IEEE Trans. Neural Networks 8 (5) (1997)
Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell
Representation and Induction of Finite State Machines using Time-Delay Neural Networks. NIPS (1996)
Bill G. Horne, Don R. Hush
Bounds on the complexity of recurrent neural network implementations of finite state machines. Neural Networks 9 (2) (1996)
M. F. Sakr, C. Lee Giles, Steven P. Levitan, Bill G. Horne, Marco Maggini, Donald M. Chiarulli
Online prediction of multiprocessor memory access patterns. ICNN (1996)
Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles
Learning long-term dependencies in NARX recurrent neural networks. IEEE Trans. Neural Networks 7 (6) (1996)
Kam-Chuen Jim, C. Lee Giles, Bill G. Horne
An analysis of noise in recurrent neural networks: convergence and generalization. IEEE Trans. Neural Networks 7 (6) (1996)
Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles
Learning long-term dependencies is not as difficult with NARX networks. NIPS (1995)
Bill G. Horne, Hava T. Siegelmann, C. Lee Giles
What NARX Networks Can Compute. SOFSEM (1995)
C. Lee Giles, Bill G. Horne, Tsungnan Lin
Learning a class of large finite state machines with a recurrent neural network. Neural Networks 8 (9) (1995)
Laurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri
Learning with Product Units. NIPS (1994)
Kam-Chuen Jim, Bill G. Horne, C. Lee Giles
Effects of Noise on Convergence and Generalization in Recurrent Networks. NIPS (1994)
Bill G. Horne, Don R. Hush
On the node complexity of neural networks. Neural Networks 7 (9) (1994)
Bill G. Horne, C. Lee Giles
An experimental comparison of recurrent neural networks. NIPS (1994)
Bill G. Horne, Don R. Hush
Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines. NIPS (1993)
Don R. Hush, Bill G. Horne
Progress in supervised neural networks. IEEE Signal Process. Mag. 10 (1) (1993)
Don R. Hush, Bill G. Horne, John M. Salas
Error surfaces for multilayer perceptrons. IEEE Trans. Syst. Man Cybern. 22 (5) (1992)
Bill G. Horne, Mohammad Jamshidi, Nader Vadiee
Neural networks in robotics: A survey. J. Intell. Robotic Syst. 3 (1) (1990)
Bill G. Horne, Don R. Hush
Estimating a posteriori probability with P-type nodes. IJCNN (1990)