Semi-Supervised Learning (Adaptive Computation and Machine Learning)

Convex Optimization

2004 • 32,626 citations

Statistical Learning Theory

1999 • 27,709 citations

Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones

1999 • 7,478 citations

A theory of the learnable

1984 • 4,471 citations

Learning with Local and Global Consistency

2003 • 3,822 citations

Transductive Inference for Text Classification using Support Vector Machines

1999 • 2,714 citations

Unsupervised word sense disambiguation rivaling supervised methods

1995 • 2,433 citations

Learning the Kernel Matrix with Semidefinite Programming

2004 • 2,032 citations

An Introduction to Computational Learning Theory

1994 • 1,752 citations

On Kernel Target Alignment

2006 • 886 citations

Kernels and Regularization on Graphs

2003 • 862 citations

Efficient noise-tolerant learning from statistical queries

1998 • 713 citations

Transductive learning via spectral graph partitioning

2003 • 657 citations

Constant depth circuits, Fourier transform, and learnability

1993 • 624 citations

Structural risk minimization over data-dependent hierarchies

1998 • 536 citations

Probability of error of some adaptive pattern-recognition machines

1965 • 525 citations

Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions

2003 • 480 citations

Cluster Kernels for Semi-Supervised Learning

2002 • 469 citations

SPECTRAL GRAPH THEORY (CBMS Regional Conference Series in Mathematics 92)

1998 • 452 citations

A general lower bound on the number of examples needed for learning

1989 • 435 citations

Rademacher penalties and structural risk minimization

2001 • 374 citations

Model Selection for Support Vector Machines

1999 • 355 citations

Unsupervised improvement of visual detectors using cotraining

2003 • 236 citations

Limitations of Co-Training for Natural Language Learning from Large Datasets

2001 • 167 citations

On the Complexity of Learning the Kernel Matrix

2002 • 133 citations

Semi-supervised learning : from Gaussian fields to Gaussian processes

2003 • 116 citations

Learning from a mixture of labeled and unlabeled examples with parametric side information

1995 • 98 citations

Learning DNF under the uniform distribution in quasi-polynomial time

1990 • 91 citations

Combining labeled and unlabeled data for text classification with a large number of categories

2002 • 64 citations

A random-sampling-based algorithm for learning intersections of halfspaces

2010 • 49 citations

Network failure detection and graph connectivity

2004 • 46 citations

The Value of Agreement, a New Boosting Algorithm

2005 • 35 citations

Optimal outlier removal in high-dimensional spaces

2003 • 33 citations

Detecting a network failure

2002 • 30 citations

Random Subclass Bounds

2003 • 10 citations