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JMLR
2010
187views more  JMLR 2010»
14 years 10 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
SAC
2010
ACM
15 years 10 months ago
Software transactional memory for implicitly parallel functional language
During the last decade, software transactional memory (STM) gained wide popularity in many areas of parallel computing. In this paper, we introduce LISP-derived language equipped ...
Petr Krajca, Vilém Vychodil
ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
15 years 9 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
TNN
2010
216views Management» more  TNN 2010»
14 years 10 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
CIMAGING
2010
165views Hardware» more  CIMAGING 2010»
15 years 3 months ago
Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy
We present the implementation and evaluation of a penalized alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitud...
Chrysanthe Preza, Joseph A. O'Sullivan