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Searching for "Kernel Dependency Estimation." – sorted by Relevance.

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14 documents found, showing 1 through 10. Next 10 →

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A general regression technique for learning transductions
by Corinna Cortes, Mehryar Mohri, Jason Weston — 2005 — Proceedings of ICML 2005
… of coefficients. A novel and conceptually cleaner formulation of kernel dependency estimation provides a simple…
Cited by 8 (0 self) – Add To MetaCart

Conditional Visual Tracking in Kernel Space
by Cristian Sminchisescu, Atul Kanujia, Zhiguo Li, Dimitris Metaxas — 2005 — In Proc. NIPS
… algorithm positively compares with techniques based on regression, Kernel Dependency Estimation (KDE) or PCA…
Cited by 6 (2 self) – Add To MetaCart

Learning to find pre-images
by Gökhan H. Bakır, Jason Weston, Bernhard Schölkopf — 2004 — Advances in Neural Information Processing Systems
…PCA), and for kernel dependency estimation (KDE), where one finds a mapping between paired sets of objects…
Cited by 16 (1 self) – Add To MetaCart

Prediction on spike data using kernel algorithms
by Jan Eichhorn, Andreas Tolias, Er Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf — 2004 — In NIPS 16
…. In this paper, we will utilise the recently proposed kernel dependency estimation technique [7] that can cope…
Cited by 9 (0 self) – Add To MetaCart

Support Vector Machine Learning for Interdependent and Structured Output Spaces
by Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun
… dependencies was pursued in Kernel Dependency Estimation (KDE) (Weston et al., 2003). Yet, the use of separate…
Cited by 106 (11 self) – Add To MetaCart

Large margin methods for structured and interdependent output variables
by Ioannis Tsochantaridis, Google Inc, Thorsten Joachims, Thomas Hofmann, Yasemin Altun, Yoram Singer — 2005 — Journal of Machine Learning Research
…. On the surface our approach is related to the kernel dependency estimation approach described in Weston et al…
Cited by 73 (6 self) – Add To MetaCart

A kernel statistical test of independence
by Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alexander J. Smola — 2008
… kernel dependence estimate must exceed, before we can dismiss with high probability the hypothesis…
Cited by 7 (7 self) – Add To MetaCart

Learning as search optimization: Approximate large margin methods for structured prediction
by Hal Daumé Iii, Daniel Marcu — 2005 — In ICML
… (Taskar et al., 2003); and kernel dependency estimation models (Weston et al., 2002). These models learn…
Cited by 35 (0 self) – Add To MetaCart

Kernelizing the output of tree-based methods
by Louis Wehenkel — 2006 — In Proceedings of the 23rd International Conference on Machine Learning Edited by: Cohen W, Moore A. ACM
…) with the loss function (5) associated with the kernel. Their method, called kernel dependency estimation (KDE…
Cited by 4 (3 self) – Add To MetaCart

The Geometry of Kernel Canonical Correlation Analysis
by Malte Kuss, Malte Kuss, Thore Graepel, Thore Graepel — 2003
… to the kernel principal component regression estimator (Rosipal and Trejo 2001). As in the linear case…
Cited by 6 (0 self) – Add To MetaCart

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