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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 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
POPL
2008
ACM
14 years 10 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume
RECOMB
2007
Springer
14 years 10 months ago
An Efficient and Accurate Graph-Based Approach to Detect Population Substructure
Currently, large-scale projects are underway to perform whole genome disease association studies. Such studies involve the genotyping of hundreds of thousands of SNP markers. One o...
Srinath Sridhar, Satish Rao, Eran Halperin
RECOMB
2004
Springer
14 years 10 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
14 years 10 months ago
Paths to stardom: calibrating the potential of a peer-based data management system
As peer-to-peer (P2P) networks become more familiar to the database community, intense interest has built up in using their scalability and resilience properties to scale database...
Mihai Lupu, Beng Chin Ooi, Y. C. Tay