کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
404665 677442 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Principal whitened gradient for information geometry
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Principal whitened gradient for information geometry
چکیده انگلیسی

We propose two strategies to improve the optimization in information geometry. First, a local Euclidean embedding is identified by whitening the tangent space, which leads to an additive parameter update sequence that approximates the geodesic flow to the optimal density model. Second, removal of the minor components of gradients enhances the estimation of the Fisher information matrix and reduces the computational cost. We also prove that dimensionality reduction is necessary for learning multidimensional linear transformations. The optimization based on the principal whitened gradients demonstrates faster and more robust convergence in simulations on unsupervised learning with synthetic data and on discriminant analysis of breast cancer data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 21, Issues 2–3, March–April 2008, Pages 232–240
نویسندگان
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