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RECOMB
2008
Springer
16 years 7 months ago
High-Resolution Modeling of Cellular Signaling Networks
A central challenge in systems biology is the reconstruction of biological networks from high-throughput data sets. A particularly difficult case of this is the inference of dynami...
Michael Baym, Chris Bakal, Norbert Perrimon, Bonni...
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
16 years 1 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
16 years 23 days ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
SIGIR
2006
ACM
16 years 17 days ago
Load balancing for term-distributed parallel retrieval
Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacity of any single machine. To handle the necessary data volumes and query through...
Alistair Moffat, William Webber, Justin Zobel
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 4 days ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai