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142
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ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 3 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
126
Voted
TLT
2008
90views more  TLT 2008»
15 years 3 months ago
Group Scribbles to Support Knowledge Building in Jigsaw Method
The jigsaw method empowers students to build their own knowledge through successive engagement through interactions in original group discussions and in expert group discussions. H...
Chee-Kit Looi, Chiu-Pin Lin, Kuo-Ping Liu
140
Voted
TNN
2008
138views more  TNN 2008»
15 years 3 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
121
Voted
SIGIR
2002
ACM
15 years 3 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
170
Voted
JMLR
2008
188views more  JMLR 2008»
15 years 3 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani