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» Visualization of the Learning Process Using Concept Mapping
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ECAI
2008
Springer
13 years 9 months ago
Active Concept Learning For Ontology Evolution
This paper proposes an approach that enables agents to teach each other concepts from their ontologies using examples. Unlike other concept learning approaches, our approach enable...
Murat Sensoy, Pinar Yolum
ADMI
2009
Springer
14 years 2 months ago
Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...
Murat Sensoy, Pinar Yolum
KES
1998
Springer
13 years 12 months ago
An acquisition of the relation between vision and action using self-organizing map and reinforcement learning
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
Kazunori Terada, Hideaki Takeda, Toyoaki Nishida
CODES
2005
IEEE
14 years 1 months ago
FlexPath NP: a network processor concept with application-driven flexible processing paths
In this paper, we present a new architectural concept for network processors called FlexPath NP. The central idea behind FlexPath NP is to systematically map network processor (NP...
Rainer Ohlendorf, Andreas Herkersdorf, Thomas Wild
IJON
2006
109views more  IJON 2006»
13 years 7 months ago
Associative memory of connectivity patterns
The goal of the visual correspondence problem is to establish a connectivity pattern (a mapping) between two images such that features projected from the same scene point are conn...
Junmei Zhu, Christoph von der Malsburg