- On the Size of Convex Hulls of Small Sets
- Shahar Mendelson;
2(Oct):1-18, 2001.
[abs]
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- Graph-Based Hierarchical Conceptual Clustering
- Istvan Jonyer, Diane J. Cook, Lawrence B. Holder;
2(Oct):19-43, 2001.
[abs]
[pdf]
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- Support Vector Machine Active Learning with Applications to Text Classification
- Simon Tong, Daphne Koller;
2(Nov):45-66, 2001.
[abs]
[pdf]
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- On the Influence of the Kernel on the Consistency of Support Vector Machines
(Kernel Machines Section)
- Ingo Steinwart;
2(Nov):67-93, 2001.
[abs]
[pdf]
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- Introduction to the Special Issue on Kernel Methods
(Kernel Machines Section)
- Nello Cristianini, John Shawe-Taylor, Robert C. Williamson;
2(Dec):95-96, 2001.
[abs]
[pdf]
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- Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space
(Kernel Machines Section)
- Roman Rosipal, Leonard J. Trejo;
2(Dec):97-123, 2001.
[abs]
[pdf]
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- Support Vector Clustering
(Kernel Machines Section)
- Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik;
2(Dec):125-137, 2001.
[abs]
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revision: Jan 2002
[abs]
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- One-Class SVMs for Document Classification
(Kernel Machines Section)
- Larry M. Manevitz, Malik Yousef;
2(Dec):139-154, 2001.
[abs]
[pdf]
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- Uniform Object Generation for Optimizing One-class Classifiers
(Kernel Machines Section)
- David M.J. Tax, Robert P.W. Duin;
2(Dec):155-173, 2001.
[abs]
[pdf]
[ps.gz]
[ps]
errata: [pdf]
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- A Generalized Kernel Approach to Dissimilarity-based Classification
(Kernel Machines Section)
- Elzbieta Pekalska, Pavel Paclik, Robert P.W. Duin;
2(Dec):175-211, 2001.
[abs]
[pdf]
[ps.gz]
[ps]
revision: Jan 2002
[abs]
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- A New Approximate Maximal Margin Classification Algorithm
(Kernel Machines Section)
- Claudio Gentile;
2(Dec):213-242, 2001.
[abs]
[pdf]
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- Efficient SVM Training Using Low-Rank Kernel Representations
(Kernel Machines Section)
- Shai Fine, Katya Scheinberg;
2(Dec):243-264, 2001.
[abs]
[pdf]
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- On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
(Kernel Machines Section)
- Koby Crammer, Yoram Singer;
2(Dec):265-292, 2001.
[abs]
[pdf]
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- Exact Simplification of Support Vector Solutions
(Kernel Machines Section)
- Tom Downs, Kevin E. Gates, Annette Masters;
2(Dec):293-297, 2001.
[abs]
[pdf]
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- Classes of Kernels for Machine Learning: A Statistics Perspective
(Kernel Machines Section)
- Marc G. Genton;
2(Dec):299-312, 2001.
[abs]
[pdf]
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- Recommender Systems Using Linear Classifiers
- Tong Zhang, Vijay S. Iyengar;
2(Feb):313-334, 2002.
[abs]
[pdf]
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[ps]
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- Machine Learning with Data Dependent Hypothesis Classes
- Adam Cannon, J. Mark Ettinger, Don Hush, Clint Scovel;
2(Feb):335-358, 2002.
[abs]
[pdf]
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- On Using Extended Statistical Queries to Avoid Membership Queries
- Nader H. Bshouty, Vitaly Feldman;
2(Feb):359-395, 2002.
[abs]
[pdf]
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- The Learning-Curve Sampling Method Applied to Model-Based Clustering
- Christopher Meek, Bo Thiesson, David Heckerman;
2(Feb):397-418, 2002.
[abs]
[pdf]
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- Text Classification using String Kernels
- Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Chris Watkins;
2(Feb):419-444, 2002.
[abs]
[pdf]
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- Learning Equivalence Classes of Bayesian-Network Structures
- David Maxwell Chickering;
2(Feb):445-498, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
errata: [pdf]
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- Stability and Generalization
- Olivier Bousquet, André Elisseeff;
2(Mar):499-526, 2002.
[abs]
[pdf]
[ps.gz]
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- Covering Number Bounds of Certain Regularized Linear Function Classes
- Tong Zhang;
2(Mar):527-550, 2002.
[abs]
[pdf]
[ps.gz]
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- Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing
- James Hammerton, Miles Osborne, Susan Armstrong, Walter Daelemans;
2(Mar):551-558, 2002.
[abs]
[pdf]
[ps.gz]
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- Memory-Based Shallow Parsing
- Erik F. Tjong Kim Sang;
2(Mar):559-594, 2002.
[abs]
[pdf]
[ps.gz]
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- Shallow Parsing using Specialized HMMs
- Antonio Molina, Ferran Pla;
2(Mar):595-613, 2002.
[abs]
[pdf]
[ps.gz]
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- Text Chunking based on a Generalization of Winnow
- Tong Zhang, Fred Damerau, David Johnson;
2(Mar):615-637, 2002.
[abs]
[pdf]
[ps.gz]
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- Shallow Parsing with PoS Taggers and Linguistic Features
- Beáta Megyesi;
2(Mar):639-668, 2002.
[abs]
[pdf]
[ps.gz]
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- Learning Rules and Their Exceptions
- Hervé Déjean;
2(Mar):669-693, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Shallow Parsing using Noisy and Non-Stationary Training Material
- Miles Osborne;
2(Mar):695-719, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Round Robin Classification
- Johannes Fürnkranz;
2(Mar):721-747, 2002.
[abs]
[pdf]
[ps.gz]
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