TACAS
2010
Springer
13 years 9 months ago
2010
Springer
Systems and protocols combining concurrency and infinite state space occur quite often in practice, but are very difficult to verify automatically. At the same time, if the system ...
TACAS
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Intermediate languages are a paradigm to separate concerns in software verification systems when bridging the gap between programming languages and the logics understood ...
SWAT
2010
Springer
13 years 9 months ago
2010
Springer
In this paper we describe an algorithm to approximately solve a class of semidefinite programs called covering semidefinite programs. This class includes many semidefinite programs...
SWAT
2010
Springer
13 years 9 months ago
2010
Springer
As Bin Packing is NP-hard already for k = 2 bins, it is unlikely to be solvable in polynomial time even if the number of bins is a fixed constant. However, if the sizes of the item...
STACS
2010
Springer
13 years 9 months ago
2010
Springer
ABSTRACT. We study the maximum weight matching problem in the semi-streaming model, and improve on the currently best one-pass algorithm due to Zelke (Proc. STACS '08, pages 6...
SRDS
2010
IEEE
13 years 9 months ago
2010
IEEE
We introduce the notion of a swift algorithm. Informally, an algorithm that solves the repeated consensus is swift if, in a partial synchronous run of this algorithm, eventually no...
SODA
2010
ACM
13 years 9 months ago
2010
ACM
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
SODA
2010
ACM
13 years 9 months ago
2010
ACM
Differential privacy is a recent notion of privacy tailored to the problem of statistical disclosure control: how to release statistical information about a set of people without ...
SODA
2010
ACM
13 years 9 months ago
2010
ACM
Motivated by issues of saving energy in data centers we define a collection of new problems referred to as "machine activation" problems. The central framework we introd...
SOCIALCOM
2010
13 years 9 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...