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» Two Algorithms for Inducing Causal Models from Data
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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
15 years 10 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
ICML
2006
IEEE
15 years 10 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
DEXA
2009
Springer
153views Database» more  DEXA 2009»
15 years 1 months ago
Three Approximation Algorithms for Energy-Efficient Query Dissemination in Sensor Database System
Abstract. Sensor database is a type of database management system which offers sensor data and stored data in its data model and query languages. In this system, when a user poses ...
Zhao Zhang, Xiaofeng Gao, Xuefei Zhang, Weili Wu, ...
BMCBI
2008
122views more  BMCBI 2008»
14 years 10 months ago
Generating samples for association studies based on HapMap data
Background: With the completion of the HapMap project, a variety of computational algorithms and tools have been proposed for haplotype inference, tag SNP selection and genome-wid...
Jing Li, Yixuan Chen