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Extremely Randomized Trees
by Pierre Geurts June — 2003 — Machine Learning
…Extremely randomized trees Pierre Geurts Technical report June 2003 University of Liege Department…
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Learning visual similarity measures for comparing never seen objects
by Eric Nowak — 2007 — Proc. IEEE CVPR
… of extremely randomized binary trees, and the similarity measure is computed from the quantized differences…
Cited by 7 (0 self) – Add To MetaCart

Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
by Arthur Guez, Robert D. Vincent
…-iteration and extremely randomized trees—to learn an optimal stimulation policy using labeled training data from animal…
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Tree-based batch mode reinforcement learning
by Damien Ernst, Pierre Geurts, Louis Wehenkel, L. Littman — 2005 — Journal of Machine Learning Research
…, tree bagging) and two newly proposed ensemble algorithms, namely extremely and totally randomized trees…
Cited by 42 (5 self) – Add To MetaCart

Random subwindows for robust image classification
by Raphaël Marée, Pierre Geurts, Justus Piater, Louis Wehenkel — 2005 — In CVPR
… extremely randomized trees (extra-trees) [4, 5]. The main difference with respect to other ensemble methods…
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A Generic Approach For Image Classification Based On Decision Tree Ensembles And Local Sub-Windows
by Raphael Maree, Pierre Geurts, Justus Piater, Louis Wehenkel — 2004 — In Proc. 6th Asian Conference on Computer Vision
… of ensembles of extremely randomized decision trees. We report results on four well known and publicly…
Cited by 3 (1 self) – Add To MetaCart

Fast discriminative visual codebooks using randomized clustering forests
by Frank Moosmann, Bill Triggs, Frederic Jurie — 2007 — In NIPS
… or samples [4]. Extremely Randomized Trees (see below) take this further by randomizing both attribute…
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On-line Random Forests
by Amir Saffari, Christian Leistner, Jakob Santner, Martin Godec, Horst Bischof
… algorithm. We combine ideas from on-line bagging, extremely randomized forests and propose an on…
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Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
by Raphaël Marée, Pierre Geurts, Louis Wehenkel
… and ensembles of extremely randomized trees [6]. In addition to good accuracy results obtained on various types…
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Segment and combine approach for non-parametric time-series classification
by Pierre Geurts, Louis Wehenkel — 2005 — in Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD
… of extremely randomized trees. The extremely randomized trees algorithm (Extra-Trees) is i=0 Table 1. Summary…
Cited by 7 (4 self) – Add To MetaCart

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