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» Generalization Improvement in Multi-Objective Learning
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ICML
2006
IEEE
14 years 9 months ago
Fast particle smoothing: if I had a million particles
We propose efficient particle smoothing methods for generalized state-spaces models. Particle smoothing is an expensive O(N2 ) algorithm, where N is the number of particles. We ov...
Mike Klaas, Mark Briers, Nando de Freitas, Arnaud ...
ECML
2006
Springer
14 years 15 days ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
ETS
2000
IEEE
135views Hardware» more  ETS 2000»
13 years 8 months ago
Results of a telecollaborative activity involving geographically disparate preservice teachers
This article discusses a telecollaborative activity that combines many strategies of interest in teacher education (i.e., case-based learning, online discussion, cross-university ...
Kara M. Dawson, Cheryl L. Mason, Philip Molebash
CVPR
2009
IEEE
15 years 4 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
14 years 22 days ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...