Sciweavers

1421 search results - page 79 / 285
» Resampling methods for input modeling
Sort
View
NIPS
2003
15 years 4 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
JMLR
2006
140views more  JMLR 2006»
15 years 3 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
ICDAR
2009
IEEE
15 years 10 months ago
Seal Detection and Recognition: An Approach for Document Indexing
Reliable indexing of documents having seal instances can be achieved by recognizing seal information. This paper presents a novel approach for detecting and classifying such multi...
Partha Pratim Roy, Umapada Pal, Josep Lladó...
FOCS
2005
IEEE
15 years 9 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
119
Voted
CW
2002
IEEE
15 years 8 months ago
Topological Morphing Using Reeb Graphs
Metamorphosis between 3D objects is often the transformation between a pair of shapes that have the same topology. This paper presents a new model using Reeb graphs and their cont...
Pizzanu Kanonchayos, Tomoyuki Nishita, Yoshihisa S...