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CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 8 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
TNN
2011
107views more  TNN 2011»
12 years 11 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
ESWA
2011
220views Database» more  ESWA 2011»
12 years 8 months ago
Unsupervised neural models for country and political risk analysis
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Álvaro Herrero, Emilio Corchado, Alfredo Ji...
OSDI
2008
ACM
14 years 5 months ago
Carnegie Mellon's CyDAT: Harnessing a Wide Array of Telemetry Data to Enhance Distributed System Diagnostics
The number and complexity of distributed applications has exploded, and to-date, each has had to create its own method for providing diagnostic tools and performance metrics. Thes...
Chas DiFatta, Mark Poepping, Daniel V. Klein
ATAL
2005
Springer
13 years 10 months ago
Preprocessing techniques for accelerating the DCOP algorithm ADOPT
Methods for solving Distributed Constraint Optimization Problems (DCOP) have emerged as key techniques for distributed reasoning. Yet, their application faces significant hurdles...
Syed Muhammad Ali, Sven Koenig, Milind Tambe