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» Prediction on Spike Data Using Kernel Algorithms
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107
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ICTAI
2007
IEEE
15 years 8 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
ICDM
2002
IEEE
173views Data Mining» more  ICDM 2002»
15 years 7 months ago
Mining Genes in DNA Using GeneScout
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...
Michael M. Yin, Jason Tsong-Li Wang
ICANN
2009
Springer
15 years 9 months ago
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
15 years 6 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders
99
Voted
MSR
2010
ACM
15 years 7 months ago
A comparative exploration of FreeBSD bug lifetimes
—In this paper, we explore the viability of mining the basic data provided in bug repositories to predict bug lifetimes. We follow the method of Lucas D. Panjer as described in h...
Gargi Bougie, Christoph Treude, Daniel M. Germ&aac...