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» On Bounds for the k-Partitioning of Graphs
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STOC
2003
ACM
130views Algorithms» more  STOC 2003»
15 years 10 months ago
A tight bound on approximating arbitrary metrics by tree metrics
In this paper, we show that any n point metric space can be embedded into a distribution over dominating tree metrics such that the expected stretch of any edge is O(log n). This ...
Jittat Fakcharoenphol, Satish Rao, Kunal Talwar
64
Voted
IJCAI
2007
14 years 11 months ago
Improving Author Coreference by Resource-Bounded Information Gathering from the Web
Accurate entity resolution is sometimes impossible simply due to insufficient information. For example, in research paper author name resolution, even clever use of venue, title ...
Pallika Kanani, Andrew McCallum, Chris Pal
GC
2007
Springer
14 years 10 months ago
Up-Embeddability of a Graph by Order and Girth
Let G be a connected graph of order n and girth g. If dG(u) + dG(v) ≥ n − 2g + 5 for any two non-adjacent vertices u and v, then G is up-embeddable. Further more, the lower bou...
Yichao Chen, Yanpei Liu
ICML
2005
IEEE
15 years 11 months ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft
NIPS
1998
14 years 11 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul