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ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 5 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
15 years 11 months ago
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
ICCV
2003
IEEE
15 years 10 months ago
Plane-based Calibration Algorithm for Multi-camera Systems via Factorization of Homography Matrices
A new calibration algorithm for multi-camera systems using a planar reference pattern is proposed. The algorithm is an extension of Sturm-Maybank-Zhang style plane-based calibrati...
Toshio Ueshiba, Fumiaki Tomita
GD
2006
Springer
15 years 9 months ago
Parameterized st -Orientations of Graphs: Algorithms and Experiments
st-orientations (st-numberings) or bipolar orientations of undirected graphs are central to many graph algorithms and applications. Several algorithms have been proposed in the pas...
Charalampos Papamanthou, Ioannis G. Tollis
IJCAI
2001
15 years 6 months ago
Making AC-3 an Optimal Algorithm
The AC-3 algorithm is a basic and widely used arc consistency enforcing algorithm in Constraint Satisfaction Problems (CSP). Its strength lies in that it is simple, empirically ef...
Yuanlin Zhang, Roland H. C. Yap