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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 5 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
JNW
2007
80views more  JNW 2007»
13 years 7 months ago
A New Method of Using Sensor Network for Solving Pursuit-Evasion Problem
— Wireless sensor networks offer the potential to significantly improve the performance of pursuers in pursuit-evasion games. In this paper, we study several sensor network syst...
Peng Zhuang, Yi Shang, Hongchi Shi
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
14 years 8 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
NSPW
2006
ACM
14 years 1 months ago
Sanitization models and their limitations
This work explores issues of computational disclosure control. We examine assumptions in the foundations of traditional problem statements and abstract models. We offer a comprehe...
Rick Crawford, Matt Bishop, Bhume Bhumiratana, Lis...
WWW
2005
ACM
14 years 8 months ago
Disambiguating Web appearances of people in a social network
Say you are looking for information about a particular person. A search engine returns many pages for that person's name but which pages are about the person you care about, ...
Ron Bekkerman, Andrew McCallum