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AIEDU
2008
162views more  AIEDU 2008»
13 years 7 months ago
Designing Learning by Teaching Agents: The Betty's Brain System
The idea that teaching others is a powerful way to learn is intuitively compelling and supported in the research literature. We have developed computer-based, domain-independent Te...
Krittaya Leelawong, Gautam Biswas
NIPS
2007
13 years 9 months ago
An online Hebbian learning rule that performs Independent Component Analysis
Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but o...
Claudia Clopath, André Longtin, Wulfram Ger...
JMLR
2006
123views more  JMLR 2006»
13 years 7 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
AB
2007
Springer
14 years 1 months ago
Manifestation and Exploitation of Invariants in Bioinformatics
Whenever a programmer writes a loop, or a mathematician does a proof by induction, an invariant is involved. The discovery and understanding of invariants often underlies problem s...
Limsoon Wong
ICML
2006
IEEE
14 years 8 months ago
On Bayesian bounds
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
Arindam Banerjee