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» Learning Bayesian Networks from Incomplete Databases
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Book
778views
16 years 8 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
BMCBI
2006
135views more  BMCBI 2006»
14 years 10 months ago
Correcting ligands, metabolites, and pathways
Background: A wide range of research areas in bioinformatics, molecular biology and medicinal chemistry require precise chemical structure information about molecules and reaction...
Martin A. Ott, Gert Vriend
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
15 years 10 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 1 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
KDD
2002
ACM
191views Data Mining» more  KDD 2002»
15 years 10 months ago
Multimedia Knowledge Integration, Summarization And Evaluation
This paper presents new methods for automatically integrating, summarizing and evaluating multimedia knowledge. These are essential for multimedia applications to efficiently and ...
Ana B. Benitez, Shih-Fu Chang