Sciweavers

1860 search results - page 150 / 372
» Boosting Methods for Regression
Sort
View
ICIP
2009
IEEE
14 years 11 months ago
From Hemorrhage To Midline Shift: A New Method Of Tracing The Deformed Midline In Traumatic Brain Injury Ct Images
In intracranial pathological examinations using CT scan, brain midline shift (MLS) is an important diagnostic feature indicating the pathological severity and patient's survi...
ICML
2005
IEEE
14 years 11 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
ESANN
2008
13 years 11 months ago
A Method for Time Series Prediction using a Combination of Linear Models
This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
David Martínez-Rego, Oscar Fontenla-Romero,...
NIPS
2007
13 years 11 months ago
Bundle Methods for Machine Learning
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
ENVSOFT
2000
86views more  ENVSOFT 2000»
13 years 10 months ago
Broken line smoothing: a simple method for interpolating and smoothing data series
A technique is proposed for smoothing a broken line fit, with known break points, to observational data. It will be referred to as "broken line smoothing". The smoothness...
Demetris Koutsoyiannis