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» Approximation algorithms for budgeted learning problems
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ASPDAC
2007
ACM
132views Hardware» more  ASPDAC 2007»
15 years 6 months 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»
13 years 4 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»
13 years 4 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»
15 years 26 days 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»
15 years 2 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