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CIBB
2008
13 years 11 months ago
Stability and Performances in Biclustering Algorithms
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
ICAI
2004
13 years 10 months ago
Action Inhibition
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Myriam Abramson
IRMA
2000
13 years 10 months ago
Recognizing bounds of context change in on-line learning
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
CORR
2008
Springer
104views Education» more  CORR 2008»
13 years 9 months ago
A Recommender System based on Idiotypic Artificial Immune Networks
Abstract-The immune system is a complex biological system with a highly distributed, adaptive and selforganising nature. This paper presents an Artificial Immune System (AIS) that ...
Steve Cayzer, Uwe Aickelin
TSMC
2008
79views more  TSMC 2008»
13 years 8 months ago
Issues on Stability of ADP Feedback Controllers for Dynamical Systems
Abstract--This paper traces the development of neuralnetwork (NN)-based feedback controllers that are derived from the principle of adaptive/approximate dynamic programming (ADP) a...
S. N. Balakrishnan, Jie Ding, Frank L. Lewis