2901 search results - page 76 / 581 » Predicting non-stationary processes |
123
click to vote
JMLR
2010
14 years 11 months ago
2010
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...
124
click to vote
DAC
2005
ACM
16 years 5 months ago
2005
ACM
In this paper, we present a method for analyzing the leakage current, and hence the leakage power, of a circuit under process parameter variations that can include spatial correla...
151
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
160
click to vote
ICML
2008
IEEE
2008
IEEE
A unified architecture for natural language processing: deep neural networks with multitask learning
16 years 4 months ago
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
155
click to vote
IROS
2008
IEEE
15 years 10 months ago
2008
IEEE
— The paper describes a navigation algorithm for dynamic, uncertain environment. Moving obstacles are supposed to move on typical patterns which are pre-learned and are represent...