# Publications before Penn State

## Fairly complete publications: 1992-1999, see New Stuff for 2000-present publications.

For copies of any untrievable papers, please contact Lee Giles.

## What's here:

- Refereed Journal Papers
- Refereed Conference Papers
- Edited Books & Book Chapters
- Edited Proceedings and Special Issues
- Edited Letters to the Editor
- Old Technical Reports
- Bibliography in latex bib file format of most of the older publications

## Refereed Journal Papers:

- C.L. Giles, C.W. Omlin, K. K. Thornber, "Equivalence
in Knowledge Representation: Automata, Recurrent Neural Networks, and
Dynamical Fuzzy Systems,"
*Proceedings of the IEEE*, 87(9), 1999. - S. Lawrence, C.L. Giles, "Accessibility
of Information on the Web,"
*Nature*, 400, 107-109, 1999. - S. Lawrence, C.L. Giles, “Searching the Web: General and
Scientific Information Access,"
*IEEE Communications*, Special issue on "Digital Library Using Next Generation Internet," 37(1), p 116, 1999. - A. Back, B. Horne, C.L. Giles, A-C. Tsoi, "Alternative
Discrete-Time Operators: An Algorithm for Optimal Selection of
Parameters,"
*IEEE Transactions on Signal Processing*47(9), 2612-2615, 1999. - Steve Lawrence, C. Lee Giles, K. Bollacker, "Digital
Libraries and Autonomous Citation Indexing,"
*IEEE Computer,*32(6), 67-71, 1999 - S. Lawrence, C.L. Giles, "Context
and Page Analysis for Improved Web Search,"
*IEEE Internet Computing,*2(4), 38-46, 1998. - Rembrandt Bakker, Jaap C. Schouten, C. Lee Giles, Floris Takens, Cor M. van den Bleek, "Learning Chaotic Attractors by Neural Networks," Neural Computation 12(10), 2355-2383, 2000.
- S. Lawrence, C.L. Giles, S. Fong, "Natural
Language Grammatical Inference with Recurrent Neural Networks,"
*IEEE Trans. on Knowledge and Data Engineering*, 12(1), 126-140, 2000. - The labeled corpus used in this study.
- T. Lin, B.G. Horne, C.L. Giles, "How
Embedded Memory in
Recurrent
Neural Network Architectures Helps Learning Long-term Temporal
Dependencies,"
*Neural Networks*11(5), p. 861, 1998. - S. Lawrence, C.L. Giles, "Searching the
World
Wide Web,"
*Science*, 280(5360), 98-100, 1998. - C.W. Omlin, K.K. Thornber, C.L. Giles, "Fuzzy
Finite-State Automata Can Be Deterministically Encoded Into Recurrent
Neural Networks,"
*IEEE Trans. on Fuzzy Systems,*6(1), p. 76, 1998. - S. Lawrence, A. Back, A-C. Tsoi, C.L. Giles, "On
the Distribution of Performance from Multiple Neural Network Trials,"
*IEEE Trans. Neural Networks,*8(6), p. 1507, 1997. - D.S. Clouse, C.L. Giles, B.G. Horne, G.W.
Cottrell, "Time-Delay
Neural Networks: Representation and Induction of Finite State Machines,"
*IEEE Trans. on Neural Networks,*8(5), p. 1065, 1997. - T. Lin, C.L. Giles, B.G. Horne, S.Y. Kung, "A
Delay Damage Model Selection Algorithm for NARX Neural Networks
*," IEEE Trans., on Signal Processing*, "Special Issue on Neural Networks," 45(11), p. 2719, 1997.**(IEEE SIGNAL PROCESSING SOCIETY 1998 YOUNG AUTHOR BEST PAPER AWARD)** - H. Siegelmann, C.L.Giles, "The Complexity of
Language
Recognition
by Neural Networks,"
*Neurocomputing*, Special Issue on "Recurrent Networks for Sequence Processing," Eds: M. Gori, M. Mozer, A.H. Tsoi, W. Watrous, vol. 15, p. 327, 1997. - H. T. Siegelmann, B.G. Horne, C.L. Giles, "Computational
capabilities of recurrent NARX neural networks,"
*IEEE Trans. on Systems, Man and Cybernetics--Part B: Cybernetics*, 27(2), p. 208, 1997. - Steve Lawrence, C. Lee Giles, Ah Chung Tsoi,
Andrew
D. Back, "Face
Recognition: A Convolutional Neural Network Approach,"
*IEEE Trans. on Neural Networks*, 8(1), p. 98, 1997. - T. Lin, B.G. Horne, P. Tino, C.L. Giles, "Learning
long--term dependencies in NARX recurrent neural networks,"
*IEEE Trans. on Neural Networks*, 7(6), p. 1329, 1996. (**OUTSTANDING PAPER AWARD for 1996**)*IEEE TRANSACTIONS ON NEURAL NETWORKS* - C.W. Omlin, C.L. Giles, "Constructing
Deterministic Finite-State Automata in Recurrent Neural Networks,"
*Journal of the ACM*, 45(6), 937-972, 1996. - Kam Jim, C.L. Giles, B.G. Horne, "Synaptic
Noise in Dynamically-driven Recurrent Neural Networks: Convergence and
Generalization
*," IEEE Trans. on Neural Networks*, 7(6), p. 1424, 1996. - C.W. Omlin, C.L. Giles, "Stable
Encoding of Large Finite-State Automata in Recurrent Neural Networks
with Sigmoid Discriminants
*," Neural Computation*, 8(*4*), p. 675, 1996. - C.W. Omlin, C.L. Giles, "Extraction
of Rules from Discrete-Time Recurrent Neural Networks,"
*Neural Networks*, 9(1), 41-52, 1996. - C.W. Omlin, C.L. Giles, "Rule
Revision with Recurrent Neural Networks,"
*IEEE Trans. on Knowledge and Data Engineering*, 8(1), pp. 183-188, 1996. - C.L. Giles, B.G. Horne, T. Lin, "Learning
a Class of Large Finite State Machines with a Recurrent Neural Network
*," Neural Networks*, 8(9), 1359-1365, 1995. - M.W. Goudreau, C.L. Giles, "Using
Recurrent
Neural
Networks to Learn the Structure of Interconnection Networks,"
*Neural Networks*, 8(5), 793-804, 1995. - C.L. Giles, M.W. Goudreau, "Routing
in Optical Multistage Interconnection Networks: A Neural Network
Solution
*," IEEE/OSA J. of Lightwave Technology*, Special Issue on Optical Interconnections for Information Processing, 13(6), p. 1111, 1995. - C.L. Giles, D. Chen, G.Z. Sun, H.H. Chen,
Y.C. Lee,
M.W. Goudreau, "Constructive
Learning of Recurrent Neural Networks: Problems with Recurrent Cascade
Correlation
and a Simple Solution,"
*IEEE Trans. on Neural Networks*, 6(4), p. 829, 1995. - C. L. Giles, C.W. Omlin, "Pruning
Recurrent Neural Networks for Improved Generalization Performance
*, "IEEE Trans. on Neural Networks*, 5(5), p. 848, 1994. - M.W. Goudreau, C.L. Giles, S.T. Chakradhar,
D. Chen, "First-Order
Vs. Second-Order Single Layer Recurrent Neural Networks,"
*IEEE Trans. on Neural Networks*, 5 (3), p. 511, 1994. - C.L. Giles, G.M. Kuhn, R.J. Williams (Guest
Editors)
- Special Issue on "Dynamical Recurrent Neural Networks,"
*IEEE Trans. on Neural Networks*, 5(2), 1994. bib.file of special issue - C.B. Miller, C.L. Giles, "Experimental
Comparison
of the Effect of Order in Recurrent Neural Networks,"
*International Journal of Pattern Recognition and Artificial Intelligence*, (Special Issue on Neural Networks), 7(4), p. 849, 1993. - C.L. Giles, C.W. Omlin, "Extraction,
Insertion and
Refinement of Production Rules in Recurrent Neural Networks,"
*Connection Science*, Special Issue on "Architectures for Integrating Symbolic and Neural Processes", 5(3-4), p.307, 1993. - C.L. Giles, C.B. Miller, D. Chen, H.H. Chen,
G.Z.
Sun, Y.C. Lee, "Learning
and Extracting Finite State Automata with
Second-Order
Recurrent Neural Networks,"
*Neural Computation*, 4(3), p. 393, 1992. - M.W. Goudreau, C.L. Giles, "Routing in Random
Multistage Interconnection Networks: Comparing Exhaustive Search,
Greedy and Neural Network
Approaches,"
*International Journal of Neural Systems*, 3(2), 1992.

## Refereed Conference Papers:

- K. Bollacker, S. Lawrence, C.L. Giles,
"A
System For
Automatic
Personalized Tracking of Scientific Literature on the Web,"
*DL'99 Digital Libraries, The 4th ACM Conference on Digital Libraries*, 105-113, 1999. - E.J. Glover, S. Lawrence,
M.D. Gordon, W.P. Birmingham, C.L Giles, "Recommending Web Documents
Based on User Preferences,"
*Proceedings of the ACM SIGIR '99 Workshop on Recommender Systems: Algorithms and Evaluation*, 1999. - S. Lawrence,
C.L. Giles, K. Bollacker, "Scientific
Literature Indexing on the Web,"
*Poster Proceedings of the 8th International World Wide Conference,*120-121, 1999. - S. Lawrence, C.L. Giles, K. Bollacker,
"Autonomous Citation Matching, "
*Proceedings of the 3rd ACM Annual Conference on Autonomous Agents*(poster), 392-393, 1999. - S. Lawrence, C.L. Giles, "Text and Image Metasearch on the Web, "International Conference on Parallel and Distributed Processing Techniques and Applications, CSREA Press, 829-835, 1999.
- E.J. Glover, S. Lawrence, W.P. Birmingham, C.L. Giles, "Architecture of a Metasearch Engine that Supports User Information Needs," Eighth International Conference on Information and Knowledge Management (CIKM’99), 210-216, 1999.
- S. Lawrence, K. Bollacker, C.L. Giles, "Indexing and Retrieval of Scientific Literature on the Web," Eighth International Conference on Information and Knowledge Management (CIKM’99), 139-146, 1999.
- Rembrandt Bakker, Jaap
C. Schouten, Marc-Olivier
Coppens, Floris
Takens, C.
Lee Giles, Cor
M. van den Bleek,
"Robust Learning of Chaotic Attractors,"
*Advances in Neural Information Processing Systems*, NIPS 1999, 879-885, 1999.

- C.L. Giles, K. Bollacker, S. Lawrence, "CiteSeer:
An Automatic Citation Indexing System,"
*DL'98 Digital Libraries, 3rd ACM Conference on Digital Libraries*, pp. 89-98, 1998.**[ONE OF EIGHT PAPERS SELECTED FOR BEST PAPER AWARD]**. - K. Bollacker, S. Lawrence, C.L. Giles, "CiteSeer:
An Autonomous Web Agent for Automatic Retrieval and Identification of
Interesting Publicatiions,"
*Agents'98, 2nd International ACM Conference on Autonomous Agents*, 116-123, 1998. - U. Cetintemel, B.T. Jonsson, Michael J. Franklin, C. Lee Giles, and D. Srivastava, “Evaluating Answer Quality/Efficiency Tradeoffs,” Proceedings of the 5th International Workshop on Knowledge Representation Meets Databases (KRDB'98), p. 19, 1-4, Seattle, 1998.
- M.F. Sakr, S.P. Levitan, C.L. Giles, D.M.
Chiarulli, "Reconfigurable
Processor Employing Optical Channels,"
*Optics in Computing, OC'98*, Proceedings of the SPIE, vol. 3490, p. 564, 1998. - S. Lawrence. C.L. Giles, "The
Inquirus Meta Search Engine,"
*7th International World Wide Web Conference*, 95-105, 1998. - C.L. Giles, T. Lin, B.G. Horne, S-Y. Kung, "The Past Is Important: A Method for Determining Memory Structure in NARX Neural Networks," IEEE World Conference on Computational Intelligence, p. 1834, 1998.
- R. Bakker, J.C. Schouten, C.M. van der Bleek,
C.L.
Giles, "Neural Learning of Chaotic Dynamics: The Error Propagation
Algorithm,"
*IEEE World Conference on Computational Intelligence*, p. 2483, 1998. - T. Lin, C.L. Giles, B.G. Horne, "What to
Remember,
How Memory Order Affects the Performance of NARX Neural Networks,"
*IEEE World Conference on Computational Intelligence*, p. 1051, 1998. - Back, B.G. Horne, A. C. Tsoi, C.L. Giles, "Low
Sensitivity Time Delay Neural Networks with Cascade Form Structure,"
*Neural Networks for Signal Processing VII, Proceedings of the 1997 IEEE Workshop*, IEEE Press, p. 44, 1997. - C.L. Giles, T. Lin, B.G. Horne, "Remembering
the
Past:
The Role of Embedded Memory in Recurrent Neural Network Architectures,"
*Neural Networks for Signal Processing VII, Proceedings of the 1997 IEEE Workshop*, IEEE Press, p. 34, 1997. - S. Lawrence, A. Back, A-C. Tsoi, C.L. Giles, "The
Gamma MLP - Using Multiple Temporal Resolutions for Improved
Classification,"
*Neural Networks for Signal Processing VII, Proceedings of the 1997 IEEE Workshop*, IEEE Press, p. 256, 1997. - C.L. Giles, S. Lawrence, A-C. Tsoi, "Rule
Inference
for Financial Prediction using Recurrent Neural Networks,"
*Proceedings of the IEEE/IAFE Conf. on Computational Intelligence for Financial Engineering*, p. 253, IEEE, 1997. - M.F. Sakr, S.P. Levitan, D.M. Chiarulli , B.G. Horne, C.L. Giles, "Predicting Multiprocessor Memory Access Patterns with Learning Models," Proceedings of the Fourteenth International Conference on Machine Learning, Ed. D. Fisher, p. 305-312, Morgan Kaufmann, 1997.
- S. Lawrence, C.L. Giles, A-C. Tsoi, "Lessons in Neural Network Training: Overfitting may be harder than expected," Proceedings of the 14th AAAI, p. 362, MIT Press, 1997.
- L. Kuvayev, C.L. Giles, H. Cejtin, J. Philbin, "Intelligent Methods for File System Optimization," Proceedings of the 14th AAAI, p. 528, MIT Press, 1997.
- C.L. Giles, Steve Lawrence, "Presenting and Analyzing the Results of AI Experiments: Data Averaging and Data Snooping," Proceedings of the 14th AAAI, p. 540, MIT Press, 1997.
- M.F. Sakr, C.L. Giles, S.P. Levitan, B.G.
Horne, M.
Maggini, D.M. Chiarulli, "On-Line
Prediction of Multiprocessor Memory Access Patterns,"
*Proceedings of the IEEE International Conference on Neural Networks*, p. 1564, 1996,**BEST PAPER AWARD.** - M.F. Sakr, S.P. Levitan, C.L. Giles, D.M.
Chiarulli,
B.G. Horne, M. Maggini, "Predictive
Control of Opto-Electronic Reconfigurable Interconnection Networks
Using Neural
Networks,"
*2nd International Conference on Massively Parallel Processing Using Optical Interconnections*, (ed.) E. Schenfeld, 326-335, IEEE Computer Society Press, 1995. - B.G. Horne, C.L. Giles, "An
Experimental
Comparison of Recurrent Neural Networks,"
*Advances in Neural Information Processing Systems 7*, eds: G. Tesauro, D. Touretzky, T. Leen, p. 697, MIT Press, 1995. - L.R. Leerink, C.L. Giles, B.G. Horne, M.A.
Jabri, "Learning
with Product Units
*," Advances in Neural Information Processing Systems 7*, Eds: G. Tesauro, D. Touretzky, T. Leen, p. 537, MIT Press, 1995. - K. Jim, C. L. Giles, B. G. Horne, "Effects of
Noise
on Convergence and Generalization in Recurrent Networks,"
*Advances in Neural Information Processing Systems 7*, Eds: G. Tesauro, D. Touretzky, T. Leen, p. 649, MIT Press, 1995. - C.L. Giles, B.G. Horne, "Representation and
Learning
in Recurrent Neural Network Archi tectures,"
*Proceedings of the Eighth Yale Workshop on Adaptive and Learning Systems*, p. 128, 1994. - C.W. Omlin, C.L. Giles, B.G. Horne, L.R.
Leerink,
T. Lin, "Training
Recurrent Neural Networks with Temporal Input Encodings,"
*IEEE In ternational Conference on Neural Networks (ICNN'94)*, p. 1267, 1994. - C.W. Omlin and C.L. Giles, "Constructing
Deterministic
Finite-State Automata in Sparse Recurrent Neural Networks,"
*IEEE International Conference on Neural Networks (ICNN'94)*, p. 1732, 1994. - M.W. Goudreau, C.L. Giles, "Discovering the
Structure
of a Self Routing Interconnection Network with a Recurrent Neural
Network,"
*Proceedings of the International Workshop on Neural Network Applications in Telecommunications*, Eds. J. Alspector, R. Goodman, T.X. Brown, Lawrence Erlbaum, Hillsdale, NJ, p. 52, 1993. - S. Das, C.L. Giles, G.Z. Sun, "Using Prior
Knowledge
in a NNPDA to Learn Context-Free Languages,"
*Advances in Neural Information Processing Systems 5*, S.J. Hanson, J.D. Cowan, C.L. Giles (eds), Morgan Kaufmann, San Mateo, Ca., p. 65, 1993. - M.W. Goudreau and C.L. Giles, "On recurrent
neural
networks and representing finite state recognizers,"
*Third International Conference on Artificial Neural Networks*, Institution of Electrical Engineers, London, UK, p. 55, 1993. - D. Chen, C.L. Giles, G.Z. Sun, H.H. Chen, Y.C.
Lee,
M.W. Goudreau, "Constructive Learning of Recurrent Neural Networks,"
*1993 IEEE International Conference on Neural Networks*, March 28 - April 1, vol III, p. 1196, 1993. - C.L. Giles, M.W. Goudreau, "A Neural Network
Router
for Optical Interconnection Networks,"
*OSA 1993 Technical Digest Optical Computing*, Series Vol 7, OTuA8, 1993. - H.T. Siegelmann, E.D. Sontag, C.L. Giles, "The
Complexity of Language Recognition by Neural Networks,"
*Algorithms, Software, Architecture, (Ed) J. van Leeuwen*, Series - Information Processing 92, Vol 1, Elsevier, Amsterdam, p. 329-335, 1992. - C.L. Giles, C.W. Omlin, "Inserting Rules into
Recurrent
Neural Networks,"
*Neural Networks for Signal Processing II*, Proceedings of the 1992 IEEE Workshop, eds. S.Y. Kung, F. Fallside, J. Aa. Sorenson, C.A. Kamm, IEEE Press, p. 13, 1992. - D. Chen, C.L. Giles G. Z. Sun, H. H. Chen, Y.C.
Lee,
"Learning Finite State Transactionsducers with a Recurrent Neural
Network,"
*IJCNN International Joint Conference on Neural Networks*, Beijing, China, Vol 1, p. 129, Publishing House of Electronics Industry, Beijing, 1992. - S. Das, C.L. Giles, G.Z. Sun, "Learning Context
Free
Grammars: Limitations of a Recurrent Neural Network with an External
Stack
Memory,"
*Proceedings of the 14 Annual Conference of the Cognitive Science Society*, Morgan Kaufmann, San Mateo, p. 79, 1992. - C.W. Omlin, C.L. Giles, C.B. Miller,
"Heuristics for
the Extraction of Rules from Discrete-Time Recurrent Neural Networks,"
*Proceedings of the International Joint Conference on Neural Networks*, IEEE-92CH3114-6, vol I, p. 33, 1992. - C.W. Omlin, C. L. Giles, "Training Second-Order
Recurrent Neural Networks Using Hints,"
*Proceedings of the 9th International Conference on Machine Learning*, eds. D. Sleeman and P. Edwards, Morgan Kaufmann Publishers, San Mateo, CA, p. 363, 1992. - C.L. Giles, C.B. Miller, D. Chen, G.Z. Sun,
H.H. Chen,
Y.C. Lee, "Extracting and Learning an Unknown Grammar with Recurrent
Neural Networks,"
*Advances in Neural Information Processing Systems 4*, eds. J.E. Moody, S.J. Hanson and R.P. Lippmann, Morgan Kaufmann, San Mateo, Ca., p. 317, 1992. - M.W. Goudreau, C.L.Giles, "Neural Network
Routing
for Random Multiple Stage Interconnection Networks,"
*Neural Information Processing Systems 4*, Morgan Kaufmann Publishers, eds. J.E. Moody, S.J. Hanson, R.P. Lippmann, p.722, 1992.

## Reprinted Papers, Edited Books & Book Chapters:

- T. Lin, B.G. Horne, P. Tino, C.L. Giles,
“Learning
long--term dependencies with NARX networks,”
*IEEE Trans. on Neural Networks*, 7(6), p. 1329, 1996. Reprinted in Recurrent Neural Networks: Design and Applications, (eds) L.C. Jain, L. Medsker, CRC Press, 1999. - S. Lawrence, C.L. Giles, Context and Page
Analysis
for Improved Web Search,
*IEEE Internet Computing*, 2(4), pp. 38-46, 1998. Reprinted in:*The Journal of the Image Electronics Engineers of Japan*, 1999 (in Japanese). - S. Lawrence, I. Burns, A.D. Back, A.C. Tsoi,
C.L.
Giles,” Neural Network Classification and Unequal Prior Class
Probabilities,”
in
*Tricks of the Trade: Lecture Notes in Computer Science State-of-the-Art Surveys*, (eds) G. Orr, K.-R. Muller, R. Caruana, Springer Verlag, 1998. - C. Lee Giles, M. Gori,
*Adaptive Processing of Sequences and Data Structures, Lecture Notes in Artificial Intelligence*, Springer Verlag, 1998. - S. Lawrence, C.L. Giles, A-C. Tsoi, “Symbolic
Conversion, Grammatical Inference and Rule Extraction for Foreign
Exchange Rate Prediction,”
*Neural Networks in the Capital Markets NNCM96*, (eds) Y. Abu-Mostafa, A.S. Weigend, A.-P. N. Refenes, World Scientific Press, Singapore, p. 333, 1998. - P. Tino, B.G. Horne, C.L. Giles P.C.
Collingwood, Finite
State Machines and Recurrent Neural Networks --Automata and Dynamical
Systems Approaches.
*Neural Networks and Pattern Recognition*, (eds) J.E. Dayhoff, O. Omidvar, Academic Press, 171-220, 1998. - G.Z.Sun, C.L. Giles, H.H. Chen, Y.C. Lee, The
Neural Network Pushdown
Automata:
Architecture, Dynamics and Training, in
*Adaptive Processing of Sequences and Data Structures*, (eds) C.L. Giles, M. Gori, Lecture Notes in Artificial Intelligence, 296-345, Springer Verlag, 1998. - M. Maggini, C.L. Giles, B.G. Horne, Financial
Time Series
Forecasting
Using K-Nearest Neighbors Classification,
*Nonlinear Financial Forecasting, Proceedings of the First INFFC*, (ed) R.B. Caldwell, p. 169, Finance & Technology Publishing Haymarket, VA, 1997. - S. Lawrence, S. Fong, C.L. Giles Natural
Language Grammatical
Inference:
A Comparison of Recurrent Neural Networks and Machine Learning Methods,
*Lecture Notes on Artificial Intelligence, Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing,*eds. S. Wermter, E. Riloff, G. Scheler, Springer-Verlag, NY, 1996. - D. Chen, C.L. Giles, G.Z. Sun, M.
Goudreau,
H.H. Chen, Y.C. Lee, “A Method for Constructive Learning of Recurrent
Neural
Networks,” Ch. 6,
*Computational Learning Theory and Natural Learning Systems III*,” (eds) T. Petsche, S. Hanson, J. Shavlik, MIT Press, Cambridge, MA, 1995. - H.T. Siegelmann, B.G. Horne, C.L.
Giles, “What
NARX Networks Can Compute,”
*Lecture Notes in Computer Science*, (eds) M.Bartosek, J.Staudek, J.Wiedermann, vol. 1012, Springer-Verlag, NY, 1995. - C.L. Giles, C.B. Miller, “The Effect of
Higher
Order in Recurrent Neural Networks: Experiments,” Ch 6,
*Artificial Neural Networks for Speech and Vision*, (ed) R.J. Mammone, Chapman & Hall, London, 1994. - M.W. Goudreau, C.L. Giles, “Routing in
Random
Multistage Interconnection Networks,” Ch 3,
*Neural Network Applications in Telecommunications*, (eds) B. Yuhas, N. Ansari, Kluwer, Cambridge, MA, 1994. - C.W. Omlin and C.L. Giles, “Extraction
and
Insertion of Symbolic Information in Recurrent Neural Networks,” in
*Artificial Intelligence and Neural Networks: Steps Toward Principled Integration*, (eds) V. Honavar and L. Uhr, Academic Press, Cambridge, Chapter XII, MA, 1994. - C.L. Giles, T. Maxwell, “Learning,
Invariance,
and Generalization in High Order Neural Networks,”
*Applied Optics*, 26(23), p. 4972, 1987. Reprinted in:*Selected Papers on Optical Neural Networks*, (ed) S. Jutamulia, SPIE Milestone Series, vol. MS 96, 1994. - C.B. Miller, C.L. Giles, “Experimental
Comparison
of the Effect of Order in Recurrent Neural Networks,”
*International Journal of Pattern Recognition and Artificial Intelligence*, 7(4), p. 849, 1993. Reprinted in:*Advances in Pattern Recognition Systems Using Neural Network Technologies*, (eds) I. Guyon, P.S.P. Wang, Series in Machine Perception & Artificial Intelligence - Vol 7, World Scientific, River Edge, N.J., 1993. - C.L. Giles, et.al., “Learning and
Extracting
Finite State Automata with Second-Order Recurrent Neural Networks,”
*Neural Computation*, 4(3), p. 393, 1992. Reprinted in:*Artificial Neural Networks*, (eds) E. Sanchez-Sinencia, C. Lau, IEEE Press, Piscataway, N.J., 1992. - C.L. Giles, T. Maxwell, “Learning,
Invariance,
and Generalization in High Order Neural Networks,”
*Applied Optics*, 26(23), p. 4972, 1987. Reprinted in:*Artificial Neural Networks: Concepts and Theory*, (eds) P. Mehra and B. W. Wah, IEEE Computer Society Press, Los Alamitos, CA., 1992.

## Edited Proceedings and Special Issues:

- C.L. Giles, R. Sun, J. Zurada (Guest Editors) -
Special
Issue on “Neural Networks and Hybrid Intelligent Models: Foundations,
Theory, and Applications,”
*IEEE Trans. on Neural Networks,*9(5), 1998. - C.L. Giles, M. Gori,
*Adaptive Processing of Sequences and Data Structures, Lecture Notes in Artificial Intelligence*, Springer -Verlag, 1998. - J. Principe, L. Giles, N. Morgan, E. Wilson,
*Proceedings of the 1997 IEEE Workshop Neural Networks for Signal Processing VII*, IEEE Press, 1997. - C.L. Giles, G.M. Kuhn, R.J. Williams (Guest
Editors)
- Special Issue on “Dynamical Recurrent Neural Networks,”
*IEEE Trans. on Neural Networks*, 5(2), 1994. - S.J. Hanson, J.D. Cowan, C.L. Giles,
*Advances in Neural Information Processing Systems 5*, Morgan Kaufmann, San Mateo, CA, 1993. - B.K. Jenkins, S.H. Lee, C.L. Giles, Guest
Editors,
“Optical Computing”,
*Applied Optics*, 31(26), 1992.

### Letters to the Editor (refereed):

- C.L. Giles, S. Lawrence, B. Krovetz, “Access to
Information on the Web,”
*Science*, 280(5371), p. 1815, 1998. - S. Lawrence, C.L. Giles, “Searching the Web,”
*Science*, 281(5374), p. 175, 1998.

## Technical Reports:

- Andrew D. Back, Ah Chung Tsoi, Bill G. Horne,
C.
Lee Giles, Alternative
Discrete-Time Operators and Their Application to Nonlinear Models,
U.
of Maryland
*Technical Report CS-TR-3738 and UMIACS-TR-97-03*, 1997. - M.F. Sakr, S.P. Levitan, D.M. Chiarulli, B.G.
Horne,
C.L. Giles, Performance
of On-Line Learning Methods in Predicting Multiprocessor Memory Access
Patterns,
U. of Maryland
*Technical Report UMIACS-TR-96-59 and CS-TR-3676*, 1996. - Steve Lawrence, C. Lee Giles, Ah Chung Tsoi, What
Size Neural Network Gives Optimal Generalization? Convergence
Properties of
Backpropagation. U. of Maryland
*Technical Report CS-TR-3617*. - Steve Lawrence, C. Lee Giles, Sandiway Fong, On
the Applicability of Neural Network and Machine Learning Methodologies
to
Natural Language Processing.
*Technical Report UMIACS-TR-95-64*. - P. Tino, B.G. Horne, C.L. Giles, Fixed
Points in Two--Neuron Discrete Time Recurrent Networks: Stability and
Bifurcation Considerations."
*Technical Report UMIACS-TR-95-51*. - C.W. Omlin, C.L. Giles, Fault-Tolerant
Implementation of Finite-State Automata in Recurrent Neural Networks.
*RPI Computer Science Technical Report 95-3*. - Daniel S. Clouse, C.L. Giles, B.G. Horne,
G.W. Cottrell, Learning
Large DeBruijn Automata with Feed-Forward Neural Networks.
*Technical Report UCSD CS94-398*.