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ICML
2007
IEEE
16 years 3 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
MCS
2007
Springer
15 years 8 months ago
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
Joseph DePasquale, Robi Polikar
NIPS
2008
15 years 3 months ago
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svet...
SDM
2004
SIAM
177views Data Mining» more  SDM 2004»
15 years 3 months ago
Reservoir-Based Random Sampling with Replacement from Data Stream
Byung-Hoon Park, George Ostrouchov, Nagiza F. Sama...
CORR
1999
Springer
94views Education» more  CORR 1999»
15 years 2 months ago
Performance of data networks with random links
We investigate simplified models of computer data networks and examine how the
Henryk Fuks, Anna T. Lawniczak