Sciweavers

879 search results - page 43 / 176
» Forecasting high-dimensional data
Sort
View
APVIS
2003
14 years 11 months ago
A Scalable Method for Visualising Changes in Portfolio Data
In this paper techniques from multidimensional scaling and graph drawing are coupled to provide an overview-and-detail style method for visualising a high dimensional dataset whos...
Tim Dwyer
CVPR
2004
IEEE
15 years 11 months ago
Unsupervised Learning of Image Manifolds by Semidefinite Programming
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
Kilian Q. Weinberger, Lawrence K. Saul
SSD
2009
Springer
124views Database» more  SSD 2009»
15 years 4 months ago
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series
ELKI is a unied software framework, designed as a tool suitable for evaluation of dierent algorithms on high dimensional realvalued feature-vectors. A special case of high dimens...
Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel...
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
14 years 7 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
NPL
1998
135views more  NPL 1998»
14 years 9 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal