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» Improved learning of Bayesian networks
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SIGCSE
2008
ACM
161views Education» more  SIGCSE 2008»
13 years 8 months ago
Improving retention and graduate recruitment through immersive research experiences for undergraduates
Research experiences for undergraduates are considered an effective means for increasing student retention and encouraging undergraduate students to continue on to graduate school...
Teresa A. Dahlberg, Tiffany Barnes, Audrey Rorrer,...
VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 8 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
AUSAI
2005
Springer
14 years 1 months ago
Ensemble Selection for SuperParent-One-Dependence Estimators
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey ...
DALT
2005
Springer
14 years 1 months ago
An Architecture for Rational Agents
Abstract. This paper is concerned with designing architectures for rational agents. In the proposed architecture, agents have belief bases that are theories in a multi-modal, highe...
John W. Lloyd, Tim D. Sears
CORR
2011
Springer
164views Education» more  CORR 2011»
13 years 3 months ago
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, f...
Zhilin Zhang, Bhaskar D. Rao