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PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
16 years 1 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
16 years 1 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
NIPS
1993
15 years 8 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 7 months ago
Decentralised Learning MACs for Collision-free Access in WLANs
By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a ...
Minyu Fang, David Malone, Ken R. Duffy, Douglas J....
IADIS
2004
15 years 8 months ago
New Perspectives on Teaching and Learning Software Systems Development in Large Groups - Telecollaboration
This paper outlines new perspectives on the teaching and learning of software systems development in large groups based on a newly designed, final year, Software Systems Analysis ...
Zenon Chaczko, David J. Davis, Craig Scott