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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 9 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
VMV
2003
146views Visualization» more  VMV 2003»
13 years 9 months ago
ADB-Trees: Controlling the Error of Time-Critical Collision Detection
We present a novel framework for hierarchical collision detection that can be applied to virtually all bounding volume (BV) hierarchies. It allows an application to trade quality ...
Jan Klein, Gabriel Zachmann
ALENEX
2009
106views Algorithms» more  ALENEX 2009»
13 years 8 months ago
Drawing Binary Tanglegrams: An Experimental Evaluation
A tanglegram is a pair of trees whose leaf sets are in oneto-one correspondence; matching leaves are connected by inter-tree edges. In applications such as phylogenetics or hierar...
Martin Nöllenburg, Markus Völker, Alexan...
AI
2007
Springer
13 years 7 months ago
Argument based machine learning
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
Martin Mozina, Jure Zabkar, Ivan Bratko
CORR
2010
Springer
100views Education» more  CORR 2010»
13 years 7 months ago
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work...
Raja Giryes, Michael Elad, Yonina C. Eldar