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» Modeling Relational Data by the Adjacency Model
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130
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ML
2008
ACM
15 years 3 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
124
Voted
DATAMINE
2006
117views more  DATAMINE 2006»
15 years 3 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
ICIW
2009
IEEE
15 years 10 months ago
Ontology-Based Translation of Business Process Models
Semantic Business Process Management is a recent and promising research area devoted to extending the results from Semantic Web Services — i.e., the application of ontology-base...
Barry Norton, Liliana Cabral, Jörg Nitzsche
114
Voted
IDEAL
2005
Springer
15 years 9 months ago
Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model
Abstract. The work presented in this paper shows the capability of a connectionist model, based on a statistical technique called Exploratory Projection Pursuit (EPP), to identify ...
Álvaro Herrero, Emilio Corchado, José...
144
Voted
VMCAI
2005
Springer
15 years 9 months ago
Optimizing Bounded Model Checking for Linear Hybrid Systems
Bounded model checking (BMC) is an automatic verification method that is based on a finite unfolding of the system’s transition relation. BMC has been successfully applied, in ...
Erika Ábrahám, Bernd Becker, Felix K...