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IJCNN
2000
IEEE
15 years 5 months ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta
DAGSTUHL
2007
15 years 2 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
EOR
2007
102views more  EOR 2007»
15 years 1 months ago
Bucket brigades with worker learning
The dynamics and throughput of a bucket brigade production system is studied when workersÕ speeds increase due to learning. It is shown that, if the rules of the bucket brigade s...
Dieter Armbruster, Esma Senturk Gel, Junko Murakam...
AAAI
2012
13 years 3 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
PPSN
2004
Springer
15 years 6 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong