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» Prediction on Spike Data Using Kernel Algorithms
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IVC
2006
137views more  IVC 2006»
13 years 9 months ago
An information-theoretic approach to face recognition from face motion manifolds
In this work we consider face recognition from Face Motion Manifolds (FMMs). The use of the Resistor-Average Distance (RAD) as a dissimilarity measure between densities confined t...
Ognjen Arandjelovic, Roberto Cipolla
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
14 years 9 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
RAID
2007
Springer
14 years 3 months ago
Comparing Anomaly Detection Techniques for HTTP
Much data access occurs via HTTP, which is becoming a universal transport protocol. Because of this, it has become a common exploit target and several HTTP specific IDSs have been...
Kenneth L. Ingham, Hajime Inoue
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 4 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
ESANN
2004
13 years 10 months ago
Soft-computing techniques for time series forecasting
One way to contrast the behaviour of different algorithms in the field of timeseries forecasting is to compare the prediction error using a benchmark problem. Another interesting ...
Ignacio Rojas Ruiz, Héctor Pomares