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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 11 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 11 months ago
User grouping behavior in online forums
Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
KDD
2004
ACM
156views Data Mining» more  KDD 2004»
15 years 11 months ago
TiVo: making show recommendations using a distributed collaborative filtering architecture
We describe the TiVo television show collaborative recommendation system which has been fielded in over one million TiVo clients for four years. Over this install base, TiVo curre...
Kamal Ali, Wijnand van Stam
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
15 years 11 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
CADE
2004
Springer
15 years 11 months ago
The ICS Decision Procedures for Embedded Deduction
contexts such as construction of abstractions, speed may be favored over completeness, so that undecidable theories (e.g., nonlinear integer arithmetic) and those whose decision pr...
Leonardo Mendonça de Moura, Sam Owre, Haral...