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» Efficient Algorithms for Decision Tree Cross-validation
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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
BMCBI
2010
109views more  BMCBI 2010»
13 years 7 months ago
Predicting gene function using hierarchical multi-label decision tree ensembles
Background: S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology and the sequencing of their genomes was completed many years ago. It is still a challe...
Leander Schietgat, Celine Vens, Jan Struyf, Hendri...
ICDE
2009
IEEE
151views Database» more  ICDE 2009»
14 years 9 months ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
FLAIRS
2001
13 years 9 months ago
A Practical Markov Chain Monte Carlo Approach to Decision Problems
Decisionand optimizationproblemsinvolvinggraphsarise in manyareas of artificial intelligence, including probabilistic networks, robot navigation, and network design. Manysuch prob...
Timothy Huang, Yuriy Nevmyvaka
TCSV
2008
139views more  TCSV 2008»
13 years 7 months ago
A Fast MB Mode Decision Algorithm for MPEG-2 to H.264 P-Frame Transcoding
Abstract--The H.264 standard achieves much higher coding efficiency than the MPEG-2 standard, due to its improved inter-and intra-prediction modes at the expense of higher computat...
Gerardo Fernández-Escribano, Hari Kalva, Pe...