Sciweavers

82 search results - page 3 / 17
» Learning Selective Averaged One-Dependence Estimators for Pr...
Sort
View
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
14 years 1 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
ICCD
2005
IEEE
116views Hardware» more  ICCD 2005»
14 years 4 months ago
Enhanced Dual-Transition Probabilistic Power Estimation with Selective Supergate Analysis
Consideration of pairs of transition in probabilistic simulation allows power estimation for digital circuits in which inertial delays can filter glitches [5]. However, the merit ...
Fei Hu, Vishwani D. Agrawal
NECO
1998
119views more  NECO 1998»
13 years 7 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
14 years 7 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
BMCBI
2006
72views more  BMCBI 2006»
13 years 7 months ago
Selecting effective siRNA sequences by using radial basis function network and decision tree learning
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...