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» The Learning Power of Evolution
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109
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AMAI
2004
Springer
15 years 9 months ago
Learning via Finitely Many Queries
This work introduces a new query inference model that can access data and communicate with a teacher by asking finitely many boolean queries in a language L. In this model the pa...
Andrew C. Lee
104
Voted
IJAC
2008
63views more  IJAC 2008»
15 years 3 months ago
The Management Challenge Online: e-Learning in Practice
- The Management Challenge Online (TMCO) is a ten week online management course that begins for a cohort of 30 in the week immediately following their attendance at a residential t...
Anna Peachey, Sarah Walshe
124
Voted
ICES
2005
Springer
177views Hardware» more  ICES 2005»
15 years 9 months ago
Evolving Hardware by Dynamically Reconfiguring Xilinx FPGAs
Evolvable Hardware arises as a promising solution for automatic digital synthesis of digital and analog circuits. During the last decade, a special interest has been focused on evo...
Andres Upegui, Eduardo Sanchez
125
Voted
GECCO
2004
Springer
15 years 9 months ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata
267
Voted
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 7 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...