Tong Zhang Papers on DiSC'04 Focused Named Entity Recognition Using Machine Learning Publications Note: Links lead to the DBLP on the Web. Tong Zhang Tong Zhang: On the Convergence of MDL Density Estimation. COLT 2004 : 315-330 Tong Zhang: Solving large scale linear prediction problems using stochastic gradient descent algorithms. ICML 2004 Tong Zhang, George Nagy : Surface Tortuosity and its Application to Analyzing Cracks in Concrete. ICPR (2) 2004 : 851-854 Honglei Guo , Jianmin Jiang , Gang Hu , Tong Zhang: Chinese Named Entity Recognition Based on Multilevel Linguistic Features. IJCNLP 2004 : 90-99 Jinbo Bi , Tong Zhang, Kristin P. Bennett : Column-generation boosting methods for mixture of kernels. KDD 2004 : 521-526 Li Zhang , Yue Pan , Tong Zhang: Focused named entity recognition using machine learning. SIGIR 2004 : 281-288 Bo Yang , Tong Zhang, Changxing Pei : The effect of side-information on smooth entropy. Discrete Applied Mathematics 136 (1): 151-157 (2004) Fred Damerau , Tong Zhang, Sholom M. Weiss , Nitin Indurkhya : Text categorization for a comprehensive time-dependent benchmark. Inf. Process. Manage. 40 (2): 209-221 (2004) Tong Zhang: Statistical Analysis of Some Multi-Category Large Margin Classification Methods. Journal of Machine Learning Research 5 : 1225-1251 (2004) Chuanfu Zhang , Yunsheng Liu , Tong Zhang, Yabing Zha : Integration of the Distributed Simulation into the OGSA Model. GCC (1) 2003 : 200-204 Tong Zhang, Chuanfu Zhang , Yunsheng Liu , Yabing Zha : A Design of Distributed Simulation Based on GT3 Core. GCC (2) 2003 : 590-596 Tong Zhang, Bin Yu : On the Convergence of Boosting Procedures. ICML 2003 : 904-911 Tong Zhang: An Infinity-sample Theory for Multi-category Large Margin Classification. NIPS 2003 Tong Zhang: Learning Bounds for a Generalized Family of Bayesian Posterior Distributions. NIPS 2003 Tong Zhang: Sequential greedy approximation for certain convex optimization problems. IEEE Transactions on Information Theory 49 (3): 682-691 (2003) Shie Mannor , Ron Meir , Tong Zhang: Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. Journal of Machine Learning Research 4 : 713-741 (2003) Ron Meir , Tong Zhang: Generalization Error Bounds for Bayesian Mixture Algorithms. Journal of Machine Learning Research 4 : 839-860 (2003) Tong Zhang: Leave-One-Out Bounds for Kernel Methods. Neural Computation 15 (6): 1397-1437 (2003) Tong Zhang, Keshab K. Parhi : On the high-speed VLSI implementation of errors-and-erasures correcting reed-solomon decoders. ACM Great Lakes Symposium on VLSI 2002 : 89-93 Shie Mannor , Ron Meir , Tong Zhang: The Consistency of Greedy Algorithms for Classification. COLT 2002 : 319-333 Tong Zhang: Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond. ICML 2002 : 690-700 Ron Meir , Tong Zhang: Data-Dependent Bounds for Bayesian Mixture Methods. NIPS 2002 : 319-326 Tong Zhang: Effective Dimension and Generalization of Kernel Learning. NIPS 2002 : 454-461 Fred Damerau , Tong Zhang, Sholom M. Weiss , Nitin Indurkhya : Experiments in high-dimensional text categorization. SIGIR 2002 : 357-358 David E. Johnson , Frank J. Oles , Tong Zhang, Thilo Götz : A decision-tree-based symbolic rule induction system for text categorization. IBM Systems Journal 41 (3): 428-437 (2002) Tong Zhang, Carlo Tomasi : On the Consistency of Instantaneous Rigid Motion Estimation. International Journal of Computer Vision 46 (1): 51-79 (2002) Tong Zhang, Vijay S. Iyengar : Recommender Systems Using Linear Classifier. Journal of Machine Learning Research 2 : 313-334 (2002) Tong Zhang: Covering Number Bounds of Certain Regularized Linear Function Classes. Journal of Machine Learning Research 2 : 527-550 (2002) Tong Zhang, Fred Damerau , David Johnson : Text Chunking based on a Generalization of Winnow. Journal of Machine Learning Research 2 : 615-637 (2002) Tong Zhang: On the Dual Formulation of Regularized Linear Systems with Convex Risks. Machine Learning 46 (1-3): 91-129 (2002) Tong Zhang: Approximation Bounds for Some Sparse Kernel Regression Algorithms. Neural Computation 14 (12): 3013-3042 (2002) Tong Zhang, Fred Damerau , David Johnson : Text Chunking using Regularized Winnow. ACL 2001 : 539-546 Tong Zhang: A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning. COLT/EuroCOLT 2001 : 427-443 Tong Zhang: A Sequential Approximation Bound for Some Sample-Dependent Convex Optimization Problems with Applications in Learning. COLT/EuroCOLT 2001 : 65-81 Tong Zhang: Some Sparse Approximation Bounds for Regression Problems. ICML 2001 : 624-631 George Nagy , Tong Zhang, W. R. Franklin , Eric Landis , Edwin Nagy , Denis T. Keane : Volume and Surface Area Distributions of Cracks in Concrete. IWVF 2001 : 759-768 Vijay S. Iyengar , Tong Zhang: Empirical Study of Recommender Systems Using Linear Classifiers. PAKDD 2001 : 16-27 Tong Zhang: An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. AI Magazine 22 (2): 103-104 (2001) Tong Zhang, Keshab K. Parhi : Systematic Design of Original and Modified Mastrovito Multipliers for General Irreducible Polynomials. IEEE Trans. Computers 50 (7): 734-749 (2001) Tong Zhang, Frank J. Oles : Text Categorization Based on Regularized Linear Classification Methods. Inf. Retr. 4 (1): 5-31 (2001) Vijay S. Iyengar , Chidanand Apté , Tong Zhang: Active learning using adaptive resampling. KDD 2000 : 91-98 Tong Zhang: Convergence of Large Margin Separable Linear Classification. NIPS 2000 : 357-363 Tong Zhang: Regularized Winnow Methods. NIPS 2000 : 703-709 Yang Li , Tong Zhang, Stephen E. Levinson : Word Concept Model for Intelligent Dialogue Agents. TSD 2000 : 445-449 Tong Zhang, C. C. Jay Kuo : Heuristic approach for generic audio data segmentation and annotation. ACM Multimedia (1) 1999 : 67-76 Tong Zhang: Theoretical Analysis of a Class of Randomized Regularization Methods. COLT 1999 : 156-163 Tong Zhang, Carlo Tomasi : Fast, Robust, and Consistent Camera Motion Estimation. CVPR 1999 : 1164-1170 Tong Zhang: Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions. NIPS 1999 : 370-378 Tong Zhang: Compression by Model Combination. Data Compression Conference 1998 : 319-328 Daniel H. Greene , F. Frances Yao , Tong Zhang: A Linear Algorithm for Optimal Context Clustering with Application to Bi-level Image Coding. ICIP (1) 1998 : 508-511 Gabriel Taubin , Tong Zhang, Gene H. Golub : Optimal Surface Smoothing as Filter Design. ECCV (1) 1996 : 283-292 A. Jefferson Offutt , Jie Pan , Kanupriya Tewary , Tong Zhang: An Experimental Evaluation of Data Flow and Mutation Testing. Softw., Pract. Exper. 26 (2): 165-176 (1996) Shuli Yang , Tong Zhang: The MmB difference solutions of 2-D Riemann problems for a 2*2 hyperbolic system of conservation laws. IMPACT Comput. Sci. Eng. 3 (2): 146-180 (1991) 1 [ 13 ] 2 [ 49 ] 3 [ 49 ] 4 [ 22 ] [ 25 ] [ 30 ] [ 46 ] 5 [ 18 ] 6 [ 3 ] 7 [ 29 ] 8 [ 4 ] 9 [ 50 ] 10 [ 50 ] 11 [ 30 ] [ 46 ] 12 [ 13 ] [ 17 ] [ 27 ] 13 [ 50 ] 14 [ 22 ] [ 25 ] 15 [ 29 ] 16 [ 18 ] 17 [ 9 ] 18 [ 18 ] 19 [ 10 ] 20 [ 10 ] 21 [ 43 ] [ 44 ] 22 [ 34 ] [ 38 ] 23 [ 32 ] [ 34 ] [ 37 ] [ 38 ] 24 [ 18 ] 25 [ 18 ] [ 51 ] 26 [ 2 ] 27 [ 14 ] [ 29 ] 28 [ 2 ] 29 [ 48 ] 30 [ 15 ] [ 35 ] 31 [ 47 ] 32 [ 3 ] 33 [ 2 ] 34 [ 7 ] [ 28 ] 35 [ 30 ] [ 46 ] 36 [ 47 ] 37 [ 1 ] 38 [ 4 ] 39 [ 42 ] 40 [ 43 ] [ 44 ] 41 [ 43 ] [ 44 ] 42 [ 48 ] ©2005 Association for Computing Machinery