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104
Voted
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
16 years 3 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
154
Voted
JMLR
2010
185views more  JMLR 2010»
14 years 9 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
119
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Analysis of human footsteps utilizing multi-axial seismic fusion
This paper introduces a method of enhancing an unattended ground sensor (UGS) system’s classification capability of humans via seismic signatures while subsequently discriminati...
Sean Schumer
116
Voted
CHI
2008
ACM
15 years 4 months ago
Eye-mouse coordination patterns on web search results pages
We analyzed the patterns of coordination between users' eye movements and mouse movements when scanning a web search results page, using data gathered from a study with 32 pa...
Kerry Rodden, Xin Fu, Anne Aula, Ian Spiro
105
Voted
NIPS
2001
15 years 4 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger