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AI
2002
Springer
14 years 10 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
PKDD
2005
Springer
161views Data Mining» more  PKDD 2005»
15 years 4 months ago
Active Sampling for Knowledge Discovery from Biomedical Data
Abstract. We describe work aimed at cost-constrained knowledge discovery in the biomedical domain. To improve the diagnostic/prognostic models of cancer, new biomarkers are studied...
Sriharsha Veeramachaneni, Francesca Demichelis, Em...
GIS
2006
ACM
15 years 11 months ago
ST-ACTS: a spatio-temporal activity simulator
Creating complex spatio?temporal simulation models is a hot issue in the area of spatio?temporal databases [7]. While existing Moving Object Simulators (MOSs) address different ph...
Gyözö Gidófalvi, Torben Bach Pede...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 18 days ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 1 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park