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JUCS
2010
93views more  JUCS 2010»
14 years 4 months ago
Refinement and Extension of SMDM, a Method for Defining Valid Measures
: Although literature contains a huge amount of measures for measuring quality characteristics of software artifacts throughout the development life-cycle, the majority go no furth...
Luis Reynoso, Marcela Genero, Mario Piattini
ERCIMDL
2009
Springer
153views Education» more  ERCIMDL 2009»
15 years 4 months ago
SyGAR - A Synthetic Data Generator for Evaluating Name Disambiguation Methods
Name ambiguity in the context of bibliographic citations is one of the hardest problems currently faced by the digital library community. Several methods have been proposed in the ...
Anderson A. Ferreira, Marcos André Gon&cced...
UAI
2008
14 years 11 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
INFORMATICALT
2011
89views more  INFORMATICALT 2011»
14 years 5 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
ICML
2005
IEEE
15 years 10 months ago
Learning approximate preconditions for methods in hierarchical plans
A significant challenge in developing planning systems for practical applications is the difficulty of acquiring the domain knowledge needed by such systems. One method for acquir...
Dana S. Nau, David W. Aha, Héctor Muñ...