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KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 3 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 1 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
SADM
2010
128views more  SADM 2010»
14 years 10 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
INFOCOM
2011
IEEE
14 years 3 months ago
Strategyproof auctions for balancing social welfare and fairness in secondary spectrum markets
Abstract—Secondary spectrum access is emerging as a promising approach for mitigating the spectrum scarcity in wireless networks. Coordinated spectrum access for secondary users ...
Ajay Gopinathan, Zongpeng Li, Chuan Wu
SIGECOM
2006
ACM
106views ECommerce» more  SIGECOM 2006»
15 years 5 months ago
Approximation algorithms and online mechanisms for item pricing
We present approximation and online algorithms for a number of problems of pricing items for sale so as to maximize seller’s revenue in an unlimited supply setting. Our first r...
Maria-Florina Balcan, Avrim Blum