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» Structure learning of Bayesian networks using constraints
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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 2 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
GFKL
2005
Springer
101views Data Mining» more  GFKL 2005»
15 years 10 months ago
Discovering Communities in Linked Data by Multi-view Clustering
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...
Isabel Drost, Steffen Bickel, Tobias Scheffer
180
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IJCNN
2007
IEEE
15 years 11 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
ICWE
2003
Springer
15 years 9 months ago
Semi-automatic Assessment Process in a Ubiquitous Environment for Language Learning
This work presents a research on the methods and mechanisms necessary to bring the Information and Communication Technologies in the traditional classroom. This will be achieved by...
Maximiliano Paredes, Manuel Ortega, Pedro P. S&aac...
169
Voted
JOI
2010
130views more  JOI 2010»
15 years 3 months ago
Diffusion of latent semantic analysis as a research tool: A social network analysis approach
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from i...
Yasar Tonta, Hamid R. Darvish