298 search results - page 34 / 60 » Approximate Inference and Constrained Optimization |
UAI
2004
13 years 9 months ago
2004
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
SRDS
2006
IEEE
14 years 1 months ago
2006
IEEE
In order to safeguard a sensitive database, we must ensure both its privacy and its longevity. However, privacy and longevity tend to be competing objectives. We show how to desig...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
AAAI
2006
13 years 9 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the ...