| 2006 |
|---|
| 10 | | Joaquin Quiñonero Candela,
Ido Dagan,
Bernardo Magnini,
Florence d'Alché-Buc:
Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers
Springer 2006 |
| 9 | EE | Neil D. Lawrence,
Joaquin Quiñonero Candela:
Local distance preservation in the GP-LVM through back constraints.
ICML 2006: 513-520 |
| 2005 |
|---|
| 8 | EE | Alexander Zien,
Joaquin Quiñonero Candela:
Large margin non-linear embedding.
ICML 2005: 1060-1067 |
| 7 | EE | Carl Edward Rasmussen,
Joaquin Quiñonero Candela:
Healing the relevance vector machine through augmentation.
ICML 2005: 689-696 |
| 6 | EE | Joaquin Quiñonero Candela,
Carl Edward Rasmussen,
Fabian H. Sinz,
Olivier Bousquet,
Bernhard Schölkopf:
Evaluating Predictive Uncertainty Challenge.
MLCW 2005: 1-27 |
| 5 | EE | Joaquin Quiñonero Candela,
Carl Edward Rasmussen:
A Unifying View of Sparse Approximate Gaussian Process Regression.
Journal of Machine Learning Research 6: 1939-1959 (2005) |
| 2004 |
|---|
| 4 | EE | Fabian H. Sinz,
Joaquin Quiñonero Candela,
Gökhan H. Bakir,
Carl Edward Rasmussen,
Matthias O. Franz:
Learning Depth from Stereo.
DAGM-Symposium 2004: 245-252 |
| 2003 |
|---|
| 3 | EE | Joaquin Quiñonero Candela,
Carl Edward Rasmussen:
Analysis of Some Methods for Reduced Rank Gaussian Process Regression.
European Summer School on Multi-AgentControl 2003: 98-127 |
| 2002 |
|---|
| 2 | EE | Joaquin Quiñonero Candela,
Ole Winther:
Incremental Gaussian Processes.
NIPS 2002: 1001-1008 |
| 1 | EE | Agathe Girard,
Carl Edward Rasmussen,
Joaquin Quiñonero Candela,
Roderick Murray-Smith:
Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting.
NIPS 2002: 529-536 |
