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» Prediction on Spike Data Using Kernel Algorithms
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CIKM
2008
Springer
13 years 9 months ago
SNIF TOOL: sniffing for patterns in continuous streams
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....
BMCBI
2008
139views more  BMCBI 2008»
13 years 7 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
NAR
2011
225views Computer Vision» more  NAR 2011»
12 years 10 months ago
IsoBase: a database of functionally related proteins across PPI networks
We describe IsoBase, a database identifying functionally related proteins, across five major eukaryotic model organisms: Saccharomyces cerevisiae, Drosophila melanogaster, Caenorh...
Daniel Park, Rohit Singh, Michael Baym, Chung-Shou...
ATAL
2009
Springer
14 years 2 months ago
Computing optimal randomized resource allocations for massive security games
Predictable allocations of security resources such as police officers, canine units, or checkpoints are vulnerable to exploitation by attackers. Recent work has applied game-theo...
Christopher Kiekintveld, Manish Jain, Jason Tsai, ...
WWW
2011
ACM
13 years 2 months ago
Finding the bias and prestige of nodes in networks based on trust scores
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
Abhinav Mishra, Arnab Bhattacharya