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   Home: Artificial Intelligence: Neural Networks: People: Page 2

Links
  Pages: [<<] 1 2 3 4 [>>]

  • Hinton, Geoffrey E.
    Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation. (Rating: 0.00 Votes: 0)   Rate It
  • Honavar, Vasant
    Constructive learning, computational learning theory, spatial learning, cognitive modelling, incremental learning. (Rating: 0.00 Votes: 0)   Rate It
  • Joachims, Thorsten
    Support vector machines, machine learning and natural language, statistical learning theory, text classification. (Rating: 0.00 Votes: 0)   Rate It
  • Jordan, Michael I.
    Graphical models, variational methods, machine learning, reasoning under uncertainty. (Rating: 0.00 Votes: 0)   Rate It
  • Joseph Wakeling's Neural Systems Research Page
    Research papers and information on biologically inspired neural networks, brain modelling, AI and related topics. A cross-disciplinary site mixing information from physics, neuroscience, cognitive science and other fields. (Rating: 0.00 Votes: 0)   Rate It
  • Kakade, Sham
    Reinforcement learning and conditioning, mathematical models of neural processing. (Rating: 0.00 Votes: 0)   Rate It
  • Kearns, Michael
    Reinforcement learning, probabilistic reasoning, machine learning, spoken dialogue systems. (Rating: 0.00 Votes: 0)   Rate It
  • Keysers, Daniel
    Pattern recognition and statistical modelling for object recognition. (Rating: 0.00 Votes: 0)   Rate It
  • Lawrence, Steve
    Information dissemination and retrieval, machine learning and neural networks. (Rating: 0.00 Votes: 0)   Rate It
  • LeCun, Yann
    Handwritten recognition, convolutional networks, image compression. Noted for LeNet. (Rating: 0.00 Votes: 0)   Rate It
  • Leen, Todd
    Online learning, machine learning, learning dynamics. (Rating: 0.00 Votes: 0)   Rate It
  • Li, Zhaoping
    Non-linear neural dynamics, visual segmentation, sensory processing. (Rating: 0.00 Votes: 0)   Rate It
  • McCallum, Andrew
    Machine learning, text and information retrieval and extraction, reinforcement learning. (Rating: 0.00 Votes: 0)   Rate It
  • Meila, Marina
    Graphical models, learning in high dimensions, tree networks. (Rating: 0.00 Votes: 0)   Rate It
  • Mika, Sebastian
    Machine learning and explorative data analysis: support vector machines, kernel principal component analysis and kernel Fisher discriminant analysis. (Rating: 0.00 Votes: 0)   Rate It
  • Morris, Quaid
    Machine learning for medical diagnosis and biological data analysis. (Rating: 0.00 Votes: 0)   Rate It
  Pages: [<<] 1 2 3 4 [>>]


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