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» Two Algorithms for Inducing Causal Models from Data
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ICML
2007
IEEE
15 years 10 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
DMIN
2010
262views Data Mining» more  DMIN 2010»
14 years 7 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...
SIGIR
2008
ACM
14 years 9 months ago
Modeling expert finding as an absorbing random walk
We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing ...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
ICML
2008
IEEE
15 years 10 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
ICRA
2005
IEEE
116views Robotics» more  ICRA 2005»
15 years 3 months ago
Using Hierarchical EM to Extract Planes from 3D Range Scans
— Recently, the acquisition of three-dimensional maps has become more and more popular. This is motivated by the fact that robots act in the three-dimensional world and several t...
Rudolph Triebel, Wolfram Burgard, Frank Dellaert