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» Approximation algorithms for budgeted learning problems
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ASPDAC
2007
ACM
132views Hardware» more  ASPDAC 2007»
14 years 13 days ago
Fast Decoupling Capacitor Budgeting for Power/Ground Network Using Random Walk Approach
- This paper proposes a fast and practical decoupling capacitor (decap) budgeting algorithm to optimize the power ground (P/G) network design. The new method adopts a modified rand...
Le Kang, Yici Cai, Yi Zou, Jin Shi, Xianlong Hong,...
SDM
2012
SIAM
224views Data Mining» more  SDM 2012»
11 years 10 months ago
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees
Many high-profile applications pose high-dimensional nearest-neighbor search problems. Yet, it still remains difficult to achieve fast query times for state-of-the-art approache...
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
SODA
2012
ACM
297views Algorithms» more  SODA 2012»
11 years 11 months ago
Constant factor approximation algorithm for the knapsack median problem
We give a constant factor approximation algorithm for the following generalization of the k-median problem. We are given a set of clients and facilities in a metric space. Each fa...
Amit Kumar
SADM
2010
128views more  SADM 2010»
13 years 6 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
IPL
2008
95views more  IPL 2008»
13 years 8 months ago
The Generalized Maximum Coverage Problem
We define a new problem called the Generalized Maximum Coverage Problem (GMC). GMC is an extension of the Budgeted Maximum Coverage Problem, and it has important applications in w...
Reuven Cohen, Liran Katzir