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» The Necessity of Combining Adaptation Methods
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RAS
2010
109views more  RAS 2010»
13 years 8 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 10 months ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
IADIS
2003
13 years 11 months ago
Prediction Strategies in a TV Recommender System - Method and Experiments
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
CIS
2005
Springer
14 years 3 months ago
A Naive Statistics Method for Electronic Program Guide Recommendation System
Abstract. In this paper, we propose a naive statistics method for constructing a personalized recommendation system for the Electronic Program Guide (EPG). The idea is based on a p...
Jin An Xu, Kenji Araki
ESANN
2007
13 years 11 months ago
A novel kernel-based method for local pattern extraction in random process signals
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
Majid Beigi, Andreas Zell