Journal of Machine Learning Research, Volume 2

Volume 2, October 2001

Shahar Mendelson:
On the Size of Convex Hulls of Small Sets. 1-18
Istvan Jonyer, Diane J. Cook, Lawrence B. Holder:
Graph-Based Hierarchical Conceptual Clustering. 19-43

Simon Tong, Daphne Koller:
Support Vector Machine Active Learning with Applications to Text Classification. 45-66
Ingo Steinwart:
On the Influence of the Kernel on the Consistency of Support Vector Machines. 67-93

Roman Rosipal, Leonard J. Trejo:
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space. 97-123
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik:
Support Vector Clustering. 125-137
Larry M. Manevitz, Malik Yousef:
One-Class SVMs for Document Classification. 139-154
David M. J. Tax, Robert P. W. Duin:
Uniform Object Generation for Optimizing One-class Classifiers. 155-173
Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin:
A Generalized Kernel Approach to Dissimilarity-based Classification. 175-211
Claudio Gentile:
A New Approximate Maximal Margin Classification Algorithm. 213-242
Shai Fine, Katya Scheinberg:
Efficient SVM Training Using Low-Rank Kernel Representations. 243-264
Koby Crammer, Yoram Singer:
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines. 265-292
Tom Downs, Kevin E. Gates, Annette Masters:
Exact Simplification of Support Vector Solutions. 293-297
Marc G. Genton:
Classes of Kernels for Machine Learning: A Statistics Perspective. 299-312

Tong Zhang, Vijay S. Iyengar:
Recommender Systems Using Linear Classifier. 313-334
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint Scovel:
Machine Learning with Data Dependent Hypothesis Classes. 335-358
Nader H. Bshouty, Vitaly Feldman:
On Using Extended Statistical Queries to Avoid Membership Queries. 359-395
Christopher Meek, Bo Thiesson, David Heckerman:
The Learning-Curve Sampling Method Applied to Model-Based Clustering. 397-418
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins:
Text Classification using String Kernels. 419-444
David Maxwell Chickering:
Learning Equivalence Classes of Bayesian-Network Structures. 445-498
Olivier Bousquet, André Elisseeff:
Stability and Generalization. 499-526

Olivier Bousquet, André Elisseeff:
Stability and Generalization. 499-526
Tong Zhang:
Covering Number Bounds of Certain Regularized Linear Function Classes. 527-550

Special Issue on Machine Learning Approaches to Shallow Parsing

James Hammerton, Miles Osborne, Susan Armstrong, Walter Daelemans:
Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing. 551-558
Erik F. Tjong Kim Sang:
Memory-Based Shallow Parsing. 559-594
Antonio Molina, Ferran Pla:
Shallow Parsing using Specialized HMMs. 595-613
Tong Zhang, Fred Damerau, David Johnson:
Text Chunking based on a Generalization of Winnow. 615-637
Beáta Megyesi:
Shallow Parsing with PoS Taggers and Linguistic Features. 639-668
Hervé Déjean:
Learning Rules and Their Exceptions. 669-693
Miles Osborne:
Shallow Parsing using Noisy and Non-Stationary Training Material. 695-719