IEEE - Institute of Electrical and Electronics Engineers, Inc. - Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI

International Joint Conference on Neural Networks

Author(s): S. Darmanjian ; A. Paiva ; J. Principe ; J. Sanchez
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2007
Conference Location: Orlando, FL, USA
Conference Date: 12 August 2007
Page(s): 3,062 - 3,067
ISBN (CD): 978-1-4244-1380-5
ISBN (Paper): 978-1-4244-1379-9
ISSN (Paper): 1098-7576
DOI: 10.1109/IJCNN.2007.4371449
Regular:

In this paper, we propose a simple algorithm that takes multidimensional neural input data and decomposes the joint likelihood into marginals using boosted mixtures of hidden Markov chains... View More

Advertisement