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» Prediction on Spike Data Using Kernel Algorithms
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WWW
2007
ACM
16 years 7 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 6 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
NIPS
2000
15 years 7 months ago
From Margin to Sparsity
We present an improvement of Noviko 's perceptron convergence theorem. Reinterpreting this mistakebound as a margindependent sparsity guarantee allows us to give a PAC{style ...
Thore Graepel, Ralf Herbrich, Robert C. Williamson
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
16 years 1 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
142
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TITB
2010
83views Education» more  TITB 2010»
15 years 1 months ago
Universal glucose models for predicting subcutaneous glucose concentration in humans
This paper tests the hypothesis that a "universal," data-driven model can be developed based on glucose data from one diabetic subject, and subsequently applied to predic...
Adiwinata Gani, Andrei V. Gribok, Yinghui Lu, W. K...