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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 2 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
IEAAIE
2001
Springer
14 years 2 months ago
A Mixed Closure-CSP Method to Solve Scheduling Problems
Scheduling problems can be seen as a set of temporal metric and disjunctive constraints. So, they can be formulated in terms of CSPs techniques. In the literature, there are CSP-b...
María Isabel Alfonso Galipienso, Federico B...
KDD
2010
ACM
279views Data Mining» more  KDD 2010»
14 years 2 months ago
Unifying dependent clustering and disparate clustering for non-homogeneous data
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
M. Shahriar Hossain, Satish Tadepalli, Layne T. Wa...
ER
2006
Springer
137views Database» more  ER 2006»
14 years 1 months ago
Preference Functional Dependencies for Managing Choices
Abstract. The notion of user preference in database modeling has recently received much attention in advanced applications, such as personalization of e-services, since it captures...
Wilfred Ng
CORR
2008
Springer
118views Education» more  CORR 2008»
13 years 10 months ago
An Activity-Based Model for Separation of Duty
This paper offers several contributions for separation of duty (SoD) administration in role-based access control (RBAC) systems. We first introduce a new formal framework, based o...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...