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ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 7 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 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....

Publication
139views
13 years 7 months ago
Separation of concerns in compiler development using aspect-orientation
A major difficulty in compiler development regards the proper modularization of concerns among the various compiler phases. The traditional object-oriented development paradigm ha...
ISCI
2007
170views more  ISCI 2007»
13 years 7 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
IIE
2008
188views more  IIE 2008»
13 years 7 months ago
Exploring Individual and Collaborative Dimensions of Knowledge Building in an Online Learning Community of Practice
Abstract. An exploratory study of students' engagement in online learning and knowledge building is presented in this paper. Learning in an online community, composed of stude...
Lina Markauskaite, Louise M. Sutherland