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» Finding Sequential Patterns from Large Sequence Data
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ALMOB
2008
85views more  ALMOB 2008»
14 years 9 months ago
Noisy: Identification of problematic columns in multiple sequence alignments
Motivation: Sequence-based methods for phylogenetic reconstruction from (nucleic acid) sequence data are notoriously plagued by two effects: homoplasies and alignment errors. Larg...
Andreas W. M. Dress, Christoph Flamm, Guido Fritzs...
JMLR
2002
133views more  JMLR 2002»
14 years 9 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
BMCBI
2006
144views more  BMCBI 2006»
14 years 9 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...
CORR
2011
Springer
229views Education» more  CORR 2011»
14 years 4 months ago
"Improved FCM algorithm for Clustering on Web Usage Mining"
In this paper we present clustering method is very sensitive to the initial center values ,requirements on the data set too high, and cannot handle noisy data the proposal method ...
K. Suresh
DELTA
2002
IEEE
15 years 2 months ago
Address and Data Scrambling: Causes and Impact on Memory Tests
: The way address sequences and data patterns appear on the outside of a memory may differ from their internal appearance; this effect is referred to as scrambling, which has a lar...
A. J. van de Goor, Ivo Schanstra