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» The Dark Side of Object Learning: Learning Objects
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KR
2000
Springer
15 years 7 months ago
Approximate Objects and Approximate Theories
We propose to extend the ontology of logical AI to include approximate objects, approximate predicates and approximate theories. Besides the ontology we treat the relations among ...
John McCarthy
168
Voted
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 20 days ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 8 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
136
Voted
TSE
2002
157views more  TSE 2002»
15 years 3 months ago
Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects
A number of papers have investigated the relationships between design metrics and the detection of faults in object-oriented software. Several of these studies have shown that suc...
Lionel C. Briand, Walcélio L. Melo, Jü...
116
Voted
WWW
2003
ACM
16 years 4 months ago
Elena: A Mediation Infrastructure for Educational Services
The paper presents the work of the Elena project. The contribution of this paper is twofold: The first part of the paper elaborates on the notion of educational services. Educatio...
Bernd Simon, Joaquín Salvachúa, Mich...