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» Learning Weighted Automata
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109
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ICML
2010
IEEE
15 years 1 months ago
Rectified Linear Units Improve Restricted Boltzmann Machines
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...
Vinod Nair, Geoffrey E. Hinton
84
Voted
AMAI
1999
Springer
15 years 13 days ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis
125
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Multiple instance tracking based on hierarchical maximizing bag's margin boosting
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
Chunxiao Liu, Guijin Wang, Xinggang Lin, Bobo Zeng
EMNLP
2011
14 years 15 days ago
Bootstrapping Semantic Parsers from Conversations
Conversations provide rich opportunities for interactive, continuous learning. When something goes wrong, a system can ask for clarification, rewording, or otherwise redirect the...
Yoav Artzi, Luke S. Zettlemoyer
108
Voted
IJCNN
2000
IEEE
15 years 5 months ago
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
Guilherme De A. Barreto, Aluizio F. R. Araú...