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SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 3 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
MFCS
2007
Springer
15 years 8 months ago
On Approximation of Bookmark Assignments
Consider a rooted directed acyclic graph G = (V, E) with root r, representing a collection V of web pages connected via a set E of hyperlinks. Each node v is associated with the pr...
Yuichi Asahiro, Eiji Miyano, Toshihide Murata, Hir...
158
Voted
MST
2010
187views more  MST 2010»
14 years 9 months ago
Distributed Approximation of Capacitated Dominating Sets
We study local, distributed algorithms for the capacitated minimum dominating set (CapMDS) problem, which arises in various distributed network applications. Given a network graph...
Fabian Kuhn, Thomas Moscibroda
ICPR
2008
IEEE
16 years 3 months ago
Structural poisson mixtures for classification of documents
Considering the statistical text classification problem we approximate class-conditional probability distributions by structurally modified Poisson mixtures. By introducing the st...
Jana Novovicová, Jiri Grim, Petr Somol
165
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APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
15 years 4 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa