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AAAI
2007
15 years 8 months ago
Measuring the Level of Transfer Learning by an AP Physics Problem-Solver
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Matthew Klenk, Kenneth D. Forbus
IJSEKE
2006
99views more  IJSEKE 2006»
15 years 6 months ago
Weaving Deployment Aspects into Domain-specific Models
pecific models increase the level of abstraction used to develop large-scale component-based systems. Model-driven development (MDD) approaches (e.g., ModelIntegrated Computing and...
Krishnakumar Balasubramanian, Aniruddha S. Gokhale...
BC
2005
127views more  BC 2005»
15 years 6 months ago
Computational modeling and exploration of contour integration for visual saliency
Abstract Weproposeacomputationalmodelofcontourintegration for visual saliency. The model uses biologically plausible devices to simulate how the representations of elements aligned...
T. Nathan Mundhenk, Laurent Itti
DLOG
2009
15 years 4 months ago
Explaining by Example: Model Exploration for Ontology Comprehension
Abstract. In this paper, we describe an approach for ontology comprehension support called model exploration in which models for ontologies are generated and presented interactivel...
Johannes Bauer, Ulrike Sattler, Bijan Parsia
ALDT
2009
Springer
155views Algorithms» more  ALDT 2009»
16 years 24 days ago
Insuring Risk-Averse Agents
Abstract. In this paper we explicitly model risk aversion in multiagent interactions. We propose an insurance mechanism that be can used by risk-averse agents to mitigate against r...
Greg Hines, Kate Larson