Scalable gaussian processes for characterizing multidimensional change surfaces

Scalable gaussian processes for characterizing multidimensional change surfaces

We present a scalable Gaussian process model for identifying and characterizing smooth multidimensional changepoints, and automatically learning changes in expressive covariance structure. We use Random Kitchen Sink features to exibly define a change surface in combination with expressive spectral m...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Herlands, W, Wilson, A, Nickisch, H, Flaxman, S, Neill, D, van Panhuis, W, Xing, E
التنسيق: Conference item
منشور في: Journal of Machine Learning Research 2016

مواد مشابهة

مواد مشابهة