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» Formalizing Multi-state Learning Dynamics
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ICFCA
2010
Springer
13 years 11 months ago
Describing Role Models in Terms of Formal Concept Analysis
Abstract. In the past years Software Engineering has experienced several difficulties in modularising crosscutting aspects, like shared, dynamic or scattered behavior of object-ori...
Henri Mühle, Christian Wende
WMTE
2008
IEEE
13 years 11 months ago
PALLAS: Personalised Language Learning on Mobile Devices
Mobile and ubiquitous learning facilitates language learners to continue their learning process outside the formal classroom, when and where they desire. While more and more learn...
Sobah Abbas Petersen, Jan-Kristian Markiewicz
NCA
2007
IEEE
13 years 11 months ago
Implementing Atomic Data through Indirect Learning in Dynamic Networks
Developing middleware services for dynamic distributed systems, e.g., ad-hoc networks, is a challenging task given that such services deal with dynamically changing membership and...
Kishori M. Konwar, Peter M. Musial, Nicolas C. Nic...
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
13 years 11 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré