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» Adversarial Sequence Prediction
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ISMB
1994
13 years 11 months ago
Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence
Weconsider the problem of parsing a sequence into different classes of subsequences.Twocommonexamplesare finding the exons and introns in genomicsequences and identifying the seco...
Gary D. Stormo, David Haussler
ICASSP
2007
IEEE
14 years 4 months ago
Toward Turbo Decoding of RNA Secondary Structure
We propose an iterative probabilistic algorithm for estimation of RNA secondary structure using sequence data from two homologous sequences. The method is intended to exploit inte...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
DAWAK
2004
Springer
14 years 3 months ago
Mining Periodic Patterns in Sequence Data
Abstract. Periodic pattern mining is the problem that regards temporal regularity. There are many emerging applications in periodic pattern mining, including web usage recommendati...
Kuo-Yu Huang, Chia-Hui Chang
KDD
1998
ACM
105views Data Mining» more  KDD 1998»
14 years 1 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
UAI
2004
13 years 11 months ago
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
Cosma Rohilla Shalizi, Kristina Lisa Shalizi