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» Formal Concepts of Learning Systems Validation in Use
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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 8 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
LRE
2008
110views more  LRE 2008»
15 years 6 months ago
Automatic building of an ontology on the basis of text corpora in Thai
This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on whic...
Aurawan Imsombut, Asanee Kawtrakul
HICSS
2003
IEEE
118views Biometrics» more  HICSS 2003»
15 years 11 months ago
Lessons Learned from Real DSL Experiments
Over the years, our group, led by Bob Balzer, designed and implemented three domain-specific languages for use by outside people in real situations. The first language described t...
David S. Wile
AGENTS
1998
Springer
15 years 10 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
EAGC
2004
Springer
15 years 11 months ago
Grid Infrastructure Monitoring as Reliable Information Service
A short overview of Grid infrastructure status monitoring is given followed by a discussion of key concepts for advanced status monitoring systems: passive information gathering ba...
Petr Holub, Martin Kuba, Ludek Matyska, Miroslav R...