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ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 9 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»
14 years 3 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
14 years 2 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
14 years 26 days 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
13 years 10 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