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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 4 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
IMC
2009
ACM
14 years 1 months ago
Sampling biases in network path measurements and what to do about it
We show that currently prevalent practices for network path measurements can produce inaccurate inferences because of sampling biases. The inferred mean path latency can be more t...
Srikanth Kandula, Ratul Mahajan
BMCBI
2006
133views more  BMCBI 2006»
13 years 6 months ago
Choosing negative examples for the prediction of protein-protein interactions
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
Asa Ben-Hur, William Stafford Noble
PVLDB
2008
82views more  PVLDB 2008»
13 years 6 months ago
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzal...
RECOMB
2004
Springer
14 years 7 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...