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ORCIDJournal 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
- 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
- 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
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