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....
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...
Abstract Weproposeacomputationalmodelofcontourintegration for visual saliency. The model uses biologically plausible devices to simulate how the representations of elements aligned...
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...
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...