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2002

D. E. Johnson, F. J. Oles, T. Zhang and T. Goetz. A Decision-Tree-Based Symbolic Rule Induction System for Text Categorization. Submitted to the IBM Systems Journal, special issue on AI, scheduled for Aug., 2002.

Tong Zhang. On the dual formulation of regularized linear systems with convex risks. To appear in Machine Learning Journal, vol 46, 2002, pp. 91-129.

Tong Zhang. Covering number bounds of certain regularized linear function classes. To appear in J. Machine Learning Research, 0:0-0, 2002.

Tong Zhang. On the dual formulation of regularized linear systems. To appear in Machine Learning, 46:91-129, 2002.

Tong Zhang and Gene H. Golub. Rank-one approximation to high order tensors. SIMAX, 0:0-0, 2002.

Tong Zhang and Carlo Tomasi. On the consistency of instantaneous rigid motion estimation. To appear in International Journal of Computer Vision, 46:0-0, 2002.


2001

Thilo Goetz, Robin Lougee-Heimer and Nicolas Nicolov. Efficient Indexing for Typed Feature Structures. Proceedings of Recent Advances in Natural Language Processing, Tzigov Chark, Bulgaria, 2001.

Thilo Goetz and Holger Wunsch. An Abstract Machine Approach to Finite State Transduction Over Large Character Sets. Workshop on Finite State Methods in Natural Language Processing, Helsinki, Finland, 2001.

V.S. Iyengar and T.Zhang. Empirical study of recommender systems using linear classifiers. PAKDD 01, pages 709-717, 2001.

S. Lappin, R. Levine and D. Johnson. The Revolution Maximally Confused. Natural Language and Linguistic Theory,19:4, 2001.

Tong Zhang. Regularized Winnow methods. Advances in Neural Information Processing Systems 13, pages 703-709, 2001.

Tong Zhang. A leave-one-out cross validation bound for kernel methods with applications in learning. COLT, pages 427-443, 2001.

Tong Zhang. A sequential approximation bound for some sample-dependent convex optimization problems with applications in learning. COLT, pages 65-81, 2001.

Tong Zhang. Some sparse approximation bounds for regression problems. ICML, pages 624-631, 2001.

Tong Zhang. A general greedy approximation algorithm with applications. To appear in NIPS 01, pages 0-0, 2001.

Tong Zhang. Generalization performance of some learning problems in Hilbert functional spaces. To appear in NIPS 01, pages 0-0, 2001.

Tong Zhang. A Leave-one-out Cross Validation Bound for Kernel Methods with Applications in Learning. COLT 2001, pp. 427-443.

Tong Zhang, Fred Damerau and David E. Johnson. Text Chunking using Regularized Winnow. ACL 2001, pp. 539-546.

Tong Zhang and Frank J. Oles.Text Categorization based on regularized linear classification methods. Information Retrieval, vol 4, 2001, pp. 5-31.


2000

J. Cullum, A. Ruehli, and T. Zhang. A method for reduced-order modeling and simulation of large interconnect circuits and its application to peec models including retardation. IEEE Trans. Circ. Sys., 47:261- 273, 2000.

F. Damerau, S.M. Weiss, C. Apte andB.F. White. Lightweight Document Matching for Help-Desk Applications.
IEEE Intelligent Systems Journal, v15, no 2., 2000, pp. 57-61.

V.S. Iyengar, C.Apte, and T.Zhang. Active learning using adaptive resampling. KDD 00, pages 91-98, 2000.

S. Lappin, R. Levine and D. Johnson. The Revolution Confused: A Reply to our Critics. Natural Language and Linguistic Theory, 14, 2000.

S. Lappin, R. Levine and D. Johnson. The Structure of Unscientific Revolutions. Natural Language and Linguistic Theory, 14, 2000.

F. J. Oles. An application of lattice theory to knowledge representation. Theoretical Computer Science 249 (2000), pp. 163-196.

S. Weiss, B. White, C. Apte and F. Damerau. Lightweight Document Matching for Help-Desk Applications. IEEE Intelligent Systems (March/April), 2000.

Tong Zhang. Large margin Winnow methods for text categorization. KDD 2000 Workshop on Text Mining, pages 81-87, 2000.

Tong Zhang and Frank J. Oles. A probability analysis on the value of unlabeled data for classification problems. ICML 2000, pp. 1191-1198.


1999

Thilo Goetz. Feature Constraint Grammars. PhD thesis, University of Tübingen, Germany, 1999.

D. Johnson and S. Lappin. Local Constraints vs. Economy. CSLI, Stanford UP, Stanford, CA, 1999.

S. M. Weiss, C. Apte, F. J. Damerau, D. E. Johnson, F. J. Oles, T. Goetz and T. Hampp. Maximizing Text-Mining Performance. IEEE Intelligent Systems, July-August 1999.


Prior to 1999

C. Apte, F. Damerau, S. Weiss. Towards Language Independent Automated Learning Of Text Categorization models. Proceedings of the 17 th Annual ACM/SIGIR Conference, 1994.

Fred Damerau, Chidanand Apte and Sholom Weiss. Automated Learning of Decision Rules for Text Categorization, ACM Transactions on Information Systems, Volume 12, Number 3,(1994) pp. 233-251

Fred Damerau. Generating and Evaluating Domain-Oriented Multi-Word Terms from Texts, Information Processing and Management, Volume 29, No. 4, (1993) pp. 433-447.

Fred Damerau. Automatic Compilation of Biographical Dictionaries. Information Storage and Retrieval
Vol. 8, No. 6, 1972, pp. 315-327.

Fred Damerau. A Technique for Computer Correction of Spelling Errors, Communications of the ACM,
(March 1964) pp. 171-176.

D. Johnson and L. Moss (eds.) . Linguistics and Philosophy: Special Issue on the Mathematics of Language, 1998.

D. Johnson and S. Lappin. A Critique of the Minimalist Program. Linguistics and Philosophy, 20, 1997.

Last Update : December 12, 2001

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