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AVSS
2007
IEEE
14 years 2 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
JCB
2008
170views more  JCB 2008»
13 years 7 months ago
Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison
The spatial clustering of genes across different genomes has been used to study important problems in comparative genomics, from identification of operons to detection of homologo...
Xu Ling, Xin He, Dong Xin, Jiawei Han
BMCBI
2005
149views more  BMCBI 2005»
13 years 7 months ago
The PD-(D/E)XK superfamily revisited: identification of new members among proteins involved in DNA metabolism and functional pre
Background: The PD-(D/E)XK nuclease superfamily, initially identified in type II restriction endonucleases and later in many enzymes involved in DNA recombination and repair, is o...
Jan Kosinski, Marcin Feder, Janusz M. Bujnicki
EDM
2008
97views Data Mining» more  EDM 2008»
13 years 9 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
RECOMB
2003
Springer
14 years 8 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona