 | 2012 |
| 11 |  | Laurens van der Maaten,
Sebastian Schmidtlein,
Miguel D. Mahecha:
Analyzing floristic inventories with multiple maps.
Ecological Informatics 9: 1-10 (2012) |
| 10 |  | Laurens van der Maaten,
Geoffrey E. Hinton:
Visualizing non-metric similarities in multiple maps.
Machine Learning 87(1): 33-55 (2012) |
| 2011 |
| 9 |  | Laurens van der Maaten:
Learning Discriminative Fisher Kernels.
ICML 2011: 217-224 |
| 8 |  | Laurens van der Maaten,
Max Welling,
Lawrence K. Saul:
Hidden-Unit Conditional Random Fields.
Journal of Machine Learning Research - Proceedings Track 15: 479-488 (2011) |
| 7 |  | Laurens van der Maaten:
Discussion of "Spectral Dimensionality Reduction via Maximum Entropy".
Journal of Machine Learning Research - Proceedings Track 15: 60-62 (2011) |
| 2010 |
| 6 |  | Martin Renqiang Min,
Laurens van der Maaten,
Zineng Yuan,
Anthony J. Bonner,
Zhaolei Zhang:
Deep Supervised t-Distributed Embedding.
ICML 2010: 791-798 |
| 5 |  | Andrew Gelfand,
Yutian Chen,
Laurens van der Maaten,
Max Welling:
On Herding and the Perceptron Cycling Theorem.
NIPS 2010: 694-702 |
| 4 |  | Diane Hu,
Laurens van der Maaten,
Youngmin Cho,
Lawrence K. Saul,
Sorin Lerner:
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development.
NIPS 2010: 865-873 |
| 2009 |
| 3 |  | Laurens van der Maaten:
Learning a Parametric Embedding by Preserving Local Structure.
Journal of Machine Learning Research - Proceedings Track 5: 384-391 (2009) |
| 2007 |
| 2 |  | Stijn Vanderlooy,
Laurens van der Maaten,
Ida G. Sprinkhuizen-Kuyper:
Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation.
MLDM 2007: 310-323 |
| 2005 |
| 1 |  | Laurens van der Maaten,
Eric O. Postma:
Improving automatic writer identification.
BNAIC 2005: 260-266 |