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» Two Algorithms for Inducing Causal Models from Data
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PODS
1999
ACM
160views Database» more  PODS 1999»
15 years 2 months ago
Queries with Incomplete Answers over Semistructured Data
Semistructured data occur in situations where information lacks a homogeneous structure and is incomplete. Yet, up to now the incompleteness of information has not been re ected b...
Yaron Kanza, Werner Nutt, Yehoshua Sagiv
HYBRID
2004
Springer
15 years 3 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
BMCBI
2007
135views more  BMCBI 2007»
14 years 10 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
BMCBI
2007
147views more  BMCBI 2007»
14 years 9 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
ICDE
2009
IEEE
130views Database» more  ICDE 2009»
15 years 11 months ago
A Latent Topic Model for Complete Entity Resolution
In bibliographies like DBLP and Citeseer, there are three kinds of entity-name problems that need to be solved. First, multiple entities share one name, which is called the name sh...
Liangcai Shu, Bo Long, Weiyi Meng