Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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56 results at JMLR

A least-squares approach to direct importance estimation
- - Takafumi Kanamori
  - Shohei Hido
  - et al.
- 2009
- JMLR
On the power of membership queries in agnostic learning
- - Vitaly Feldman
- 2009
- JMLR
Using Markov blankets for causal structure learning
- - Jean-Philippe Pellet
  - André Elisseeff
- 2008
- JMLR
Ranking categorical features using generalization properties
- - Sivan Sabato
  - Shai Shalev-Shwartz
- 2008
- JMLR
A generalized maximum entropy approach to Bregman Co-clustering and matrix approximation
- - Arindam Banerjee
  - Inderjit Dhillon
  - et al.
- 2007
- JMLR
On the effectiveness of Laplacian normalization for graph semi-supervised learning
- - Rie Johnson
  - Tong Zhang
- 2007
- JMLR
An efficient implementation of an active set method for SVMs
- - Katya Scheinberg
- 2006
- JMLR
A framework for learning predictive structures from multiple tasks and unlabeled data
- - Rie Kubota Ando
  - Tong Zhang
- 2005
- JMLR
Stability of randomized learning algorithms
- - Andre Elisseeff
  - Theodoros Evgeniou
  - et al.
- 2005
- JMLR
The entire regularization path for the support vector machine
- - Trevor Hastie
  - Saharon Rosset
  - et al.
- 2004
- JMLR