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ICML
2000
IEEE
15 years 10 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
AAAI
2010
15 years 7 months ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
CVPR
2012
IEEE
13 years 8 months ago
Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike most previous...
Bo Yang, Ram Nevatia
SEKE
2004
Springer
15 years 11 months ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...
CW
2004
IEEE
15 years 10 months ago
An Interactive Agent-Based Learning Environment for Children
This paper presents an educational distributed virtual reality-based environment for children called EVE - Environnement Virtuel pour Enfants. EVE is used in elementary schools fr...
Dorin Mircea Popovici, Cédric Buche, Ronan ...