Browsing by Subject "Machine learning"

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Browsing by Subject "Machine learning"

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  • ARTMAP: Supervised Real-Time Learning and Classification of Nonstationary Data by a Self-Organizing Neural Network
    Carpenter, Gail A.; Grossbergy, Stephen; Reynolds, John (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    This article introduces a new neural network architecture, called ARTMAP, that autonomously learns to classify arbitrarily many, arbitrarily ordered vectors into recognition categories based on predictive success. This ...
  • Correlates of Reward-Predictive Value in Learning-Related Hippocampal Neural Activity
    Okatan, Murat (Wiley Subscription Services, Inc., A Wiley Company, 2009-01-02)
    Temporal difference learning (TD) is a popular algorithm in machine learning. Two learning signals that are derived from this algorithm, the predictive value and the prediction error, have been shown to explain changes in ...
  • Machine Learning for Regulatory Analysis and Transcription Factor Target Prediction in Yeast
    Holloway, Dustin T.; Kon, Mark; DeLisi, Charles (Kluwer Academic Publishers, 2006-10-31)
    High throughput technologies, including array-based chromatin immunoprecipitation, have rapidly increased our knowledge of transcriptional maps-the identity and location of regulatory binding sites within genomes. Still, ...
  • Self-Supervised ARTMAP
    Amis, Gregory P.; Carpenter, Gail A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-05)
    Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semisupervised learning). In each case input ...