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104
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CIDM
2007
IEEE
15 years 5 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner
99
Voted
IMR
1998
Springer
15 years 3 months ago
Mesh Graph Structure for Longest-Edge Refinement Algorithms
In this paper we introduce and discuss a graph structure associated with longest-edge algorithms (algorithms based on the bisection of triangles by the longest-edge) which can be u...
Angel Plaza, José P. Suárez, Miguel ...
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 5 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
111
Voted
EMNLP
2011
13 years 10 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
DAGSTUHL
1998
15 years 8 days ago
Segmented Iterators and Hierarchical Algorithms
Abstract. Many data structures are naturally segmented. Generic algorithms that ignore that feature, and that treat every data structure as a uniform range of elements, are unneces...
Matthew H. Austern