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CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 4 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
CCGRID
2003
IEEE
15 years 2 months ago
Creating Services with Hard Guarantees from Cycle-Harvesting Systems
Abstract— Cycle-harvesting software on commodity computers is available from a number of companies and a significant part of the Grid computing landscape. However, creating comm...
Chris Kenyon, Giorgos Cheliotis
84
Voted
ML
2006
ACM
14 years 9 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
ICML
2009
IEEE
15 years 10 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
15 years 6 months ago
Diversity-Based Weighting Schemes for Clustering Ensembles.
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
Andrea Tagarelli, Francesco Gullo, Sergio Greco