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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
15 years 10 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
EMNLP
2010
14 years 7 months ago
Further Meta-Evaluation of Broad-Coverage Surface Realization
We present the first evaluation of the utility of automatic evaluation metrics on surface realizations of Penn Treebank data. Using outputs of the OpenCCG and XLE realizers, along...
Dominic Espinosa, Rajakrishnan Rajkumar, Michael W...
JMLR
2010
179views more  JMLR 2010»
14 years 4 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
SAC
2005
ACM
15 years 3 months ago
Performance analysis framework for large software-intensive systems with a message passing paradigm
The launch of new features for mobile phones is increasing and the product life cycle symmetrically decreasing in duration as higher levels of sophistication are reached. Therefor...
Christian Del Rosso
IJMMS
2006
71views more  IJMMS 2006»
14 years 9 months ago
Supporting knowledge-intensive inspection tasks with application ontologies
One of the major challenges in computer vision is to create automated systems that perform tasks with at least the same competences as human experts. In particular for automated i...
Nicole J. J. P. Koenderink, Jan L. Top, Lucas J. v...