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ICMLA
2010
13 years 8 months ago
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrai...
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
14 years 1 months ago
Decision Tree Induction: How Effective is the Greedy Heuristic?
Mostexisting decision tree systemsuse a greedyapproachto inducetrees -- locally optimalsplits are inducedat every node of the tree. Althoughthe greedy approachis suboptimal,it is ...
Sreerama K. Murthy, Steven Salzberg
ICMLA
2007
13 years 11 months ago
Phase transition and heuristic search in relational learning
Several works have shown that the covering test in relational learning exhibits a phase transition in its covering probability. It is argued that this phase transition dooms every...
Érick Alphonse, Aomar Osmani
ICML
2006
IEEE
14 years 11 months ago
Discriminative unsupervised learning of structured predictors
We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dal...
WEBNET
2000
13 years 11 months ago
How the Wild Wide Web was Won: Online Web Developer Training
: As the Web grows in importance in institutional settings, so does the need for training. Universities are looking at the daunting task of putting more information and services on...
John Sharkey, Kitzzy Aviles, Barbara Ferguson