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ACL
2003
13 years 6 months ago
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
Yunbo Cao, Hang Li, Li Lian
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 7 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
CPAIOR
2008
Springer
13 years 6 months ago
Gap Reduction Techniques for Online Stochastic Project Scheduling
Anticipatory algorithms for online stochastic optimization have been shown very effective in a variety of areas, including logistics, reservation systems, and scheduling. For such ...
Grégoire Dooms, Pascal Van Hentenryck
IROS
2007
IEEE
140views Robotics» more  IROS 2007»
13 years 10 months ago
Test-environment based on a team of miniature walking robots for evaluation of collaborative control methods
— For the collaborative control of a team of robots, a set of well-suited high-level control algorithms, especially for path planning and measurement scheduling, is essential. Th...
Florian Weissel, Marco F. Huber, Uwe D. Hanebeck
CAE
2007
13 years 7 months ago
Conceptualizing Birkhoff's Aesthetic Measure Using Shannon Entropy and Kolmogorov Complexity
In 1928, George D. Birkhoff introduced the Aesthetic Measure, defined as the ratio between order and complexity, and, in 1965, Max Bense analyzed Birkhoff's measure from an i...
Jaume Rigau, Miquel Feixas, Mateu Sbert