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BMCBI
2008
110views more  BMCBI 2008»
13 years 5 months ago
Determining significance of pairwise co-occurrences of events in bursty sequences
Background: Event sequences where different types of events often occur close together arise, e.g., when studying potential transcription factor binding sites (TFBS, events) of ce...
Niina Haiminen, Heikki Mannila, Evimaria Terzi
ICASSP
2011
IEEE
12 years 9 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
CPAIOR
2008
Springer
13 years 7 months ago
Connections in Networks: A Hybrid Approach
This paper extends our previous work by exploring the use of a hybrid solution method for solving the connection subgraph problem. We employ a two phase solution method, which dras...
Carla P. Gomes, Willem Jan van Hoeve, Ashish Sabha...
RECOMB
2005
Springer
14 years 6 months ago
Reconstruction of Reticulate Networks from Gene Trees
Abstract. One of the simplest evolutionary models has molecular sequences evolving from a common ancestor down a bifurcating phylogenetic tree, experiencing point-mutations along t...
Daniel H. Huson, Tobias H. Klöpper, Pete J. L...
ISCAS
2006
IEEE
90views Hardware» more  ISCAS 2006»
13 years 11 months ago
Phase measurement and adjustment of digital signals using random sampling technique
—This paper introduces a technique to measure and adjust the relative phase of on-chip high speed digital signals using a random sampling technique of inferential statistics. The...
Rashed Zafar Bhatti, Monty Denneau, Jeff Draper