Skip to main content

and
  1. Chapter and Conference Paper

    Discriminative Interpolation for Classification of Functional Data

    The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space

    Rana Haber, Anand Rangarajan in Machine Learning and Knowledge Discovery i… (2015)

  2. No Access

    Chapter and Conference Paper

    Future Prospects of Human Interaction with Artificial Autonomous Systems

    The growing complexity of intelligent systems and technologies raises questions concerning their interaction with human intelligence. The loss of an ability to control artificial intelligent and autonomous dec...

    Andrzej M. J. Skulimowski in Adaptive and Intelligent Systems (2014)

  3. No Access

    Chapter and Conference Paper

    A Computationally and Cognitively Plausible Model of Supervised and Unsupervised Learning

    Both empirical and mathematical demonstrations of the importance of chance-corrected measures are discussed, and a new model of learning is proposed based on empirical psychological results on association lear...

    David M. W. Powers in Advances in Brain Inspired Cognitive Systems (2013)

  4. No Access

    Chapter and Conference Paper

    K-Component Adaptive Recurrent Neural Network Language Models

    Conventional n-gram language models for automatic speech recognition are insufficient in capturing long-distance dependencies and brittle with respect to changes in the input domain. We propose a k-component recu...

    Yangyang Shi, Martha Larson, Pascal Wiggers in Text, Speech, and Dialogue (2013)

  5. No Access

    Chapter and Conference Paper

    Usage of Mobile Phones for Personalized Healthcare Solutions

    One of the greatest hurdles in providing the appropriate healthcare is the availability of proper information at the point of individual’s care. Mobile phone-based health solutions can bridge this gap and can ...

    M. Saravanan, S. Shanthi, S. Shalini in New Frontiers in Applied Data Mining (2012)

  6. No Access

    Chapter and Conference Paper

    Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)

    Data fusion originally referred to the process of combining multi-sensor data from different sources such that the resulting information/model is in some sense better than would be possible when these sources ...

    Changjian Huang, Mark J. Embrechts, N. Sukumar in Artificial Neural Networks – ICANN 2007 (2007)