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» Problems of learning in multi-agent systems
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PRL
2011
14 years 12 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
117
Voted
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolutionary models for maternal effects in simulated developmental systems
Maternal influence on offspring goes beyond strict nuclear (DNA) inheritance: inherited maternal mRNA, mitochondria, caring and nurturing are all additional sources that affect...
Artur Matos, Reiji Suzuki, Takaya Arita
AAAI
2012
13 years 7 months ago
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
BMCBI
2006
72views more  BMCBI 2006»
15 years 5 months ago
Selecting effective siRNA sequences by using radial basis function network and decision tree learning
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...
142
Voted
IJCAI
1997
15 years 6 months ago
An Aggregation Procedure for Building Episodic Memory
When dealing with narrative texts, a system must possess a strong domain theory, and especially knowledge about situations occurring in the world. Otherwise the system must envisa...
Olivier Ferret, Brigitte Grau