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NN
2007
Springer
14 years 11 months ago
2007
Springer
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
ICANN
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
NCA
2007
IEEE
14 years 11 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
ICPR
2002
IEEE
16 years 28 days ago
2002
IEEE
In this paper, we present a connectionist approach for detecting and precisely localizing semi-frontal human faces in complex images, making no assumption about the content or the...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...