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ICTAI
2006
IEEE
14 years 3 months ago
Improve Decision Trees for Probability-Based Ranking by Lazy Learners
Existing work shows that classic decision trees have inherent deficiencies in obtaining a good probability-based ranking (e.g. AUC). This paper aims to improve the ranking perfor...
Han Liang, Yuhong Yan
TOG
2010
134views more  TOG 2010»
13 years 4 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...
ICANN
2010
Springer
13 years 11 months ago
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
ISM
2005
IEEE
212views Multimedia» more  ISM 2005»
14 years 3 months ago
Neural Network Based Framework For Goal Event Detection In Soccer Videos
In this paper, a neural network based framework for semantic event detection in soccer videos is proposed. The framework provides a robust solution for soccer goal event detection...
Kasun Wickramaratna, Min Chen, Shu-Ching Chen, Mei...
IPCCC
2006
IEEE
14 years 3 months ago
Risk reduction based survivable WDM network design
— This paper presents an investment strategy to reduce the risk associated with failures in Wavelength Division Multiplexing (WDM) optical networks. The investment strategy deter...
K. Vajanapoom, David Tipper