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CORR
2008
Springer
169views Education» more  CORR 2008»
13 years 8 months ago
Tight Approximation Ratio of a General Greedy Splitting Algorithm for the Minimum k-Way Cut Problem
For an edge-weighted connected undirected graph, the minimum k-way cut problem is to find a subset of edges of minimum total weight whose removal separates the graph into k connect...
Mingyu Xiao, Leizhen Cai, Andrew C. Yao
NIPS
1994
13 years 10 months ago
Generalization in Reinforcement Learning: Safely Approximating the Value Function
To appear in: G. Tesauro, D. S. Touretzky and T. K. Leen, eds., Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995. A straightforward approach to t...
Justin A. Boyan, Andrew W. Moore
ICML
2004
IEEE
14 years 9 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
ANCS
2010
ACM
13 years 6 months ago
A traffic-aware top-N firewall ruleset approximation algorithm
Packet classification is widely used in various network security and operation applications. Two of the main challenges are the increasing number of classification rules, amount o...
Ho-Yu Lam, Donghan (Jarod) Wang, H. Jonathan Chao
VTC
2008
IEEE
125views Communications» more  VTC 2008»
14 years 3 months ago
A General Formula for Log-MGF Computation: Application to the Approximation of Log-Normal Power Sum via Pearson Type IV Distribu
Abstract— In [1], we have recently proposed a general approach for approximating the power sum of Log–Normal Random Variables (RVs) by using the Pearson system of distributions...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci