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EMNLP
2008
15 years 7 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
IJCAI
2007
15 years 7 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...
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ASWEC
2005
IEEE
15 years 11 months ago
Extending UML for Model Composition
The success of UML and more generally, of the model driven approach, has led to a proliferation of models, representing various systems, but the description of large applications ...
Jacky Estublier, Anca Daniela Ionita
ICCV
2007
IEEE
16 years 14 days ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
COMPSAC
2006
IEEE
16 years 6 days ago
Consensus Ontology Generation in a Socially Interacting MultiAgent System
This paper presents an approach for building consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent has its own conceptualizat...
Ergun Biçici