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

Volume 2, November 2001

• 
  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

Volume 2, December 2001

Kernel Machines Section

• 
  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

Volume 2, Feburary 2002

• 
  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

Volume 2, March 2002

• 
  Tong Zhang:
  Covering Number Bounds of Certain Regularized Linear Function Classes. 527-550

Special Issue on Machine Learning Approaches to Shallow Parsing

• 
  James Alistair 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
• 
  Johannes Fürnkranz:
  Round Robin Classification. 721-747