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» Learning to Predict Rare Events in Event Sequences
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KDD
2010
ACM
250views Data Mining» more  KDD 2010»
13 years 11 months ago
Modeling relational events via latent classes
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
Christopher DuBois, Padhraic Smyth
COGSCI
2010
114views more  COGSCI 2010»
13 years 7 months ago
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation...
Todd M. Gureckis, Bradley C. Love
24
Voted
BMCBI
2008
179views more  BMCBI 2008»
13 years 7 months ago
Bayesian modeling of recombination events in bacterial populations
Background: We consider the discovery of recombinant segments jointly with their origins within multilocus DNA sequences from bacteria representing heterogeneous populations of fa...
Pekka Marttinen, Adam Baldwin, William P. Hanage, ...
TAPIA
2005
ACM
14 years 1 months ago
Towards a cross-platform microbenchmark suite for evaluating hardware performance counter data
As useful as performance counters are, the meaning of reported aggregate event counts is sometimes questionable. Questions arise due to unanticipated processor behavior, overhead ...
Roberto Araiza, Maria Gabriela Aguilera, Thientam ...
COMPSEC
2004
91views more  COMPSEC 2004»
13 years 7 months ago
Predicting the intrusion intentions by observing system call sequences
Identifying the intentions or attempts of the monitored agents through observations is very vital in computer network security. In this paper, a plan recognition method for predict...
Li Feng, Xiaohong Guan, Sangang Guo, Yan Gao, Pein...