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EUROMICRO
1997
IEEE
14 years 24 days ago
What computer architecture can learn from computational intelligence-and vice versa
This paper considers whether the seemingly disparate fields of Computational Intelligence (CI) and computer architecture can profit from each others’ principles, results and e...
Ronald Moore, Bernd Klauer, Klaus Waldschmidt
ITICSE
2006
ACM
14 years 2 months ago
Students learn CS in different ways: insights from an empirical study
This empirical study demonstrates that students’ learning of computer science takes place in qualitatively different ways. The results consist of categories, where each category...
Anders Berglund, Mattias Wiggberg
LSO
2004
Springer
14 years 1 months ago
Impreciseness and Its Value from the Perspective of Software Organizations and Learning
When developing large software products many verbal and written interactions take place. In such interactions the use of abstract and uncertain expressions is considered advantageo...
Grigori Melnik, Michael M. Richter
CVPR
2000
IEEE
14 years 10 months ago
Learning from One Example through Shared Densities on Transforms
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
ADMI
2009
Springer
14 years 3 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