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» Constructive and collaborative learning of algorithms
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ICAC
2009
IEEE
13 years 5 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
ATAL
2007
Springer
14 years 1 months ago
Children in the forest: towards a canonical problem of spatio-temporal collaboration
Canonical problems are simplified representations of a class of real world problems. They allow researchers to compare algorithms in a standard setting which captures the most im...
Yi Luo, Ladislau Bölöni
ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
13 years 5 months ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu
IJCAI
2007
13 years 9 months ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
ISM
2008
IEEE
185views Multimedia» more  ISM 2008»
14 years 2 months ago
A Framework for Collaborative Real-Time 3D Teleimmersion in a Geographically Distributed Environment
In this paper, we present a framework for immersive 3D video conferencing and geographically distributed collaboration. Our multi-camera system performs a full-body 3D reconstruct...
Gregorij Kurillo, Ramanarayan Vasudevan, Edgar J. ...