512 search results - page 34 / 103 » Prediction intervals for regression models |
SDM
2010
SIAM
13 years 11 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
PAKDD
2004
ACM
14 years 3 months ago
2004
ACM
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...
JMLR
2010
13 years 4 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...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...
NAACL
2010
13 years 8 months ago
2010
Open-class semantic lexicon induction is of great interest for current knowledge harvesting algorithms. We propose a general framework that uses patterns in bootstrapping fashion ...