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» Learning the Common Structure of Data
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140
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ILP
2003
Springer
15 years 8 months ago
A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments
We describe an efficient implementation (MRDTL-2) of the Multi-relational decision tree learning (MRDTL) algorithm [23] which in turn was based on a proposal by Knobbe et al. [19] ...
Anna Atramentov, Hector Leiva, Vasant Honavar
110
Voted
IAT
2009
IEEE
15 years 7 months ago
Learning in a Fixed or Evolving Network of Agents
This paper investigates incremental multiagent learning in static or evolving structured networks. Learning examples are incrementally distributed among the agents, and the object...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...
ISMDA
2001
Springer
15 years 8 months ago
Learning Bayesian-Network Topologies in Realistic Medical Domains
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
116
Voted
SIGCSE
1997
ACM
121views Education» more  SIGCSE 1997»
15 years 7 months ago
Application-based modules using apprentice learning for CS 2
A typical Data Structures (CS 2) course covers a wide variety of topics: elementary algorithm analysis; data structures including dynamic structures, trees, tables, graphs, etc.; ...
Owen L. Astrachan, Robert F. Smith, James T. Wilke...
135
Voted
ESWS
2008
Springer
15 years 5 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...