A Pattern Mining Approach for Classifying Multivariate Temporal Data
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Learning classification models with soft-label informationAn Efficient Pattern Mining Approach for Event Detection in Multivariate Temporal Data.Mining Recent Temporal Patterns for Event Detection in Multivariate Time Series Data.Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical dataComparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR dataLearning classification models from multiple experts.Efficient mining gapped sequential patterns for motifs in biological sequences.Predictive modeling of respiratory tumor motion for real-time prediction of baseline shifts.
P2860
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P2860
A Pattern Mining Approach for Classifying Multivariate Temporal Data
description
2011 nî lūn-bûn
@nan
2011 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
A Pattern Mining Approach for Classifying Multivariate Temporal Data
@ast
A Pattern Mining Approach for Classifying Multivariate Temporal Data
@en
type
label
A Pattern Mining Approach for Classifying Multivariate Temporal Data
@ast
A Pattern Mining Approach for Classifying Multivariate Temporal Data
@en
prefLabel
A Pattern Mining Approach for Classifying Multivariate Temporal Data
@ast
A Pattern Mining Approach for Classifying Multivariate Temporal Data
@en
P2093
P2860
P356
P1476
A Pattern Mining Approach for Classifying Multivariate Temporal Data
@en
P2093
Gregory F Cooper
Iyad Batal
Milos Hauskrecht
P2860
P304
P356
10.1109/BIBM.2011.39
P577
2011-11-01T00:00:00Z